At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

Responsibilities:

Participate in developing and documenting User Stories by providing the test strategy and automation estimates.

Develop, document, and maintain the test strategy and test scenarios.

Build and execute unit, component, acceptance, integration, load, security, scalability, usability, and platform tests.

Conduct code reviews to ensure consistency, quality, and reusability of test automation artifacts.

Partner with developers to ensure all areas of the application are fully tested and to find technical solutions for test automation.

Build and manage automated test suites and ensure execution through various environments, CI-CD pipelines, and to be used by NOC teams.

Regularly execute, maintain, and update automated test suites and analyze the results to identify the cause of failures.

Create defects for issues found with appropriate details and ensure issues are resolved, including validation of the fix and required automation updates.

Present appropriate results to sign off on software functionality for new production releases.

Work with cross-functional teams and release management to manage development, QA, and production releases of the software.

Perform exploratory testing to understand the feature and how it is implemented, to find additional or unexpected behavior, and to refine and define additional test cases for the feature.

Contribute to the QA automation framework using industry-standard tools and approaches.

Leverage and enhance coding standards and best practices for automated QA code.

Participate in analyzing Major Incidents and Emergency Change controls to identify opportunities to automate software quality test cases to reduce or eliminate those issues.

Qualifications:

Experience in Java/Ruby/C#/Python coding.

Experience with automated testing tools - Cucumber/Gherkin, Selenium Webdriver, NodeJS, and Java.

Experience in automated API testing using JAVA Spring Boot 2, RestAssured, GraphQL, or Postman.

Experience with message-oriented protocols like JMS, such as AMQ, RabbitMQ, Kafka, etc.

Knowledge of MS Entity Framework/Spring JDBC.

Experience with service-oriented architecture.

Knowledge of working with CI/CD processes and tools - preferably Jenkins/JenkinsX.

Experience with source code version control tools and processes – Git/Stash.

Experience in writing SQL queries for test data preparation as well as data validation.

Experience in querying Couchbase databases is desirable.

Experience working with databases and various data formats and related technologies for testing. SQL Server and SQL Server Management Studio are a plus.

Experience with Splunk analysis to validate technical fixes and updates in application code/configuration.

Experience with defect tracking tools (JIRA).

Experience in manual testing.

Experience with POS systems is a plus.

Desirable to have experience with payment gateways and payment terminals.

Desirable to have experience with Kubernetes and operations for deploying container-based applications.

Ability to work independently, with attention to detail and follow-up activities.

Ability to multitask in a fast-paced and dynamic work environment.

Experience in high-traffic eCommerce applications.

Our benefits:

-Health and dental insurance

-Meal and food allowance

-Childcare assistance

-Extended paternity leave

-Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;

-Profit Sharing and Results Participation (PLR);

-Life insurance

-Continuous learning platform (CI&T University);

-Discount club

-Free online platform dedicated to physical, mental, and overall well-being

-Pregnancy and responsible parenting course

-Partnerships with online learning platforms

-Language learning platform

And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don’t worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

We are looking for a Senior Java Developer to join our team on an innovative and challenging project for a major American investment client.

This position requires availability to work at the Campinas office 3x/week.

Responsibilities:

Understand customer business problems and pain points.

Write high-quality software code.

Perform code reviews.

Help solve business problems.

Work with multidisciplinary teams following an agile delivery model.

Guide and train the team, developing successors.

Be able to communicate in English, actively participating in meetings and reviewing and writing technical documents in English.

Requirements for this challenge:

Advanced English (daily contact with people outside Brazil).

Availability to work at our Campinas office 3x/week

Proven experience with Java and SpringBoot.

Deep experience in development using Java for services and APIs.

Experience with AWS services.

Proven experience in automated test development and understanding of the Test Pyramid concept.

Deep understanding of GIT.

Proven experience with agile methodologies.

Nice to Have:

Experience with SRE practices.

#LI-AG4

Our benefits:

-Health and dental insurance

-Meal and food allowance

-Childcare assistance

-Extended paternity leave

-Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;

-Profit Sharing and Results Participation (PLR);

-Life insurance

-Continuous learning platform (CI&T University);

-Discount club

-Free online platform dedicated to physical, mental, and overall well-being

-Pregnancy and responsible parenting course

-Partnerships with online learning platforms

-Language learning platform

And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don’t worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.

About Fubo:

FuboTV Inc. is a consumer-first live TV streaming company that is defining the future of TV.

Ranked among Fast Company’s Most Innovative Companies (2026) and the Financial Times’ The Americas’ Fastest-Growing Companies (2026, 2025), FuboTV owns Hulu + Live TV (entertainment), Fubo (sports) and Molotov (entertainment and sports), which stream in markets around the globe.

Our Mission:

Our mission is to deliver premium sports, news and entertainment programming through a best-in-class user experience that offers greater choice, flexibility and value.

About the Role:

*This role is a New York City based HYBRID position. Candidates must be located in NYC, and willing to come into the office on a hybrid basis, three times a week (Tuesday, Wednesday, Thursday).*

Fubo is looking for exceptional Frontend Web Engineers with a passion for crafting simple systems that solve complex problems.

As a Software Engineer on our Smart TV Team, you will work closely with an amazing Design and Product team to craft intuitive and elegant interactive experiences that belie their complexity. You will build performant, testable and maintainable code bases using modern javascript tooling.

We are looking for software engineers who care about code quality, uptime, performance, continuous integration and deployment, SOLID design principles, test-driven development, and agile (with a lowercase “a”) methodologies.

Our Frontend tech stack:

• React
• ES2016 and beyond
• TypeScript
• Webpack
• ESLint
• Jest + React Testing Library

Fubo Software Engineers have the following responsibilities:

• Develop, test, maintain and improve software systems
• Collaborate with other engineers and members of the Fubo team to determine priorities and best practices, and refine functional requirements

All Fubo Frontend Software Engineers must:

• Have 2+ years of experience in delivering working software, preferably web applications
• Write clean, well-tested code
• Be familiar with at least one mature MV* framework
• Be familiar with immutability concepts, CSS, and responsive design

The ideal candidate will also:

• Enjoy working in a fast-moving startup environment in which individual contributors are trusted and depended upon to set technical direction
• Believe that work-life balance is a characteristic of highly functioning engineering teams
• Enjoy learning new things and sharing knowledge with coworkers
• Take the initiative in identifying and removing roadblocks
• Be a pleasure to work with in a professional environment
• Be comfortable giving and receiving honest feedback
• Be unafraid of failure
• Enjoy disrupting the status quo
• Have experience developing applications for Smart TVs or set-top boxes.

Perks & Benefits:

• At Fubo, you will have the opportunity to personally influence what live media looks like after it goes through its next big transformation
• Fubo provides a highly competitive compensation based on experience and market standards
• Robust benefit package including Health/Dental/Vision coverage 401k, Life Insurance, and commuter benefits
• Free Premium Fubo Account
• Unlimited PTO days and regular company-wide activities
• Fubo’s main headquarters are located in Midtown Manhattan, with offices in Paris, and Bangalore
• Fubo is an e-verified company

Fubo’s minimum base salary for this role if hired in New York City is $135,000 per year; maximum base salary for this role is $175,000 per year. Additionally, this role is eligible to participate in Fubo’s equity plan, annual cash bonus plans, unlimited PTO, and a full range of medical benefits. The final offer amount will be at the company’s sole discretion and determined by multiple factors, including years and depth of experience and expertise, and other business considerations.

Company Description

About us:

Passion for food. Hunger for tech. We make METRO digital.

Today technology is driving the world. And at METRO.digital we are driving the technology for one of the leading international wholesalers specializing in food - METRO. From e-commerce to checkout, to delivery software, we work on a wide range of products to make each day a success for our customers and colleagues. With passion and ownership, we build the future of wholesale.

You are driving to create smart solutions for customers around the globe? You want to grow in a flexible environment? Let the right career opportunity find you and join us!

How you will make an impact?

As a Backend Engineer (Scala) in the Identity and Access Management (IDAM) squad within the Cyber Security platform at METRO Digital, you will be at the heart of the systems that govern who can access what across our global retail organisation. Your work directly secures and enables the digital identity of tens of thousands of customers and systems. You will design, build, and maintain high-performance backend services written in Scala, operating on top of Kubernetes, PostgreSQL, ensuring reliability, scalability, and security at every layer.

Please note that this role is open also for candidates in Brasov and Cluj.

Job Description

Your Responsibilities:

• Design, develop, and maintain Scala-based backend services handling identity governance, provisioning workflows, and access management logic;
• Collaborate closely with the IDAM squad to implement and evolve core platform capabilities: role assignments, entitlement management, and lifecycle automation;
• Work on data persistence layers using PostgreSQL— ensuring correctness, performance, and resilience;
• Deploy and operate services on Kubernetes; contribute to reliability, observability, and on-call readiness;
• Participate in code reviews, technical design discussions, and architecture decisions within the squad
• Split large initiatives into small, manageable microservices and subprojects;
• Work in an Agile/Scrum environment with short delivery cycles and close collaboration with product and security stakeholders.

Qualifications

Required key competencies and qualifications:

• Good knowledge in Java/Scala (5+ years of experience);
• Enthusiasm for automating and automatically scaling tests and deployments with Docker and Kubernetes;
• Experience with cloud platforms, preferably Google Cloud Platform (GCP) and knowledge of IaC (Terraform);
• Experience with SQL and NoSQL databases — PostgreSQL;
• Security mindset when designing and building applications;
• Interest in splitting large projects into small, manageable microservices;
• Ability to communicate fluently in English (written and verbal);
• Curiosity and drive to constantly learn and adopt new technologies.

Nice-to-have:

• Experience with Datadog and the Play Framework;
• Hands-on experience with secure authentication and authorisation mechanisms: JWT, OAuth2, OpenID Connect (OIDC), and role-based access control (RBAC);
• Experience with event-driven architectures (Kafka or similar);
• CI/CD pipeline experience and DevOps practices.

Additional Information

What we offer at METRO.digital?

• Hybrid and agile work: thrive in a flexible, multicultural environment.

At METRO.digital, we promote work-life balance through a hybrid working model. You’ll be part of self-organizing, multicultural teams that collaborate in an agile setup.

• People development: when you grow so do we!

We want you to become the best version of yourself with individual and company-wide programs and trainings for people development. Focused among other on development, leadership, appreciation … it´s time to upskill your career.

• Support with individual solutions: we are people-caring!

We offer support whenever you need it - at every stage of your professional journey.

Want to know more about all our benefits? Discover more here.

Let´s connect soon. Apply for the role now!

Position grade within our career framework: Full Stack Engineer Grade 3 (Md7).

Ihre Rolle in unserem Team• Sie beraten und betreuen unsere Kunden bei IT-Infrastrukturprojekten.

Headquarters: Katowice - 2 days in office / 3 days remote
URL: http://ey.com

MS Dynamics 365 CRM Consultant - Katowice

 

Location: Katowice - 2 days in office / 3 days remote

 

Let us introduce you the job offer by EY GDS Poland – a member of the global integrated service delivery center network by EY.

 

The opportunity

Right now, we are looking for MS Dynamics 365 CRM (CE) Senior Consultant to join our EY GDS Advisory team focused on providing cutting – edge IT solutions dedicated to the biggest market players in EMEA region.  

 

Your key responsibilities

You’ll be working with state-of-the-art technologies in the area of MS DYNAMICS 365 CE. The idea is to deliver business advisory services in the field of transformation and enterprise management systems; implement the newest MS DYNAMICS 365 CE solutions and manage the quality of implementation projects.

 

Skills and attributes for success

 

• 1+ years of experience in MS Dynamics 365 CE / Power Platform implementations
• Practical knowledge of building custom pages, PCF custom controls and plugins
• Experience in data migration
• Participation in MS DYNAMICS 365 Consulting implementation projects with a focus on developing new solutions and expanding system functionalities within the scope of R&D activities.
• Cooperating with R&D teams to identify and implement best practices and new MS DYNAMICS 365 solutions that may enhance the efficiency of business processes.
• Reporting the progress of R&D projects and documenting the results of implementations, as well as post-implementation review.

 

To qualify for the role, you must have

 

• Knowledge in project planning and costing  
• Knowledge about system enhancements  
• Strong client communication skills
• Excellent English verbal and written communication  

 

Ideally, you’ll also have

 

• Higher Education Degree  
• Strong team leader skills  
• Knowledge about system enhancement

 

What we look for 

Individuals who can successfully participate in the implementation of MS Dynamics 365 systems (or older versions), show enthusiasm in enhancing their core Microsoft technology knowledge and experience and are willing to travel on business. 

 

What we offer

 

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across nine locations – Argentina, Hungary, India, the Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

 

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. 
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. 
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. 
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. 

 

About EY
EY | Building a better working world

 

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. 

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

 

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The exceptional EY experience. It’s yours to build. 

 

In compliance with the requirements of the Whistleblower Protection Act, our company has established the Procedure for reporting breaches of law and undertaking appropriate follow-up actions. Any misconduct should be reported through the EY Ethics Hotline.

To apply: https://weworkremotely.com/remote-jobs/ey-studio-nederland-ms-dynamics-365-crm-consultant-katowice

DevOps Engineer (Data & AI Platform)

Role Summary

We are hiring a DevOps Engineer to support and scale our Data and AI platform in production. This role focuses on building reliable infrastructure for data pipelines and ML systems, standardizing deployment patterns, and ensuring performance, observability, and cost efficiency across compute-intensive workloads.

Responsibilities

• Build and operate infrastructure for data pipelines and AI/ML workloads
• Develop and maintain CI/CD for application and model lifecycle (build, train, deploy)
• Manage Infrastructure as Code (Terraform) across environments
• Support containerized workloads and orchestration (Docker, Kubernetes)
• Partner with Machine Learning teams and engineering to productionize models
• Implement monitoring, logging, and tracing for data flow and model performance
• Improve reliability, scalability, and cost efficiency of data systems
• Enforce security and access controls for data and infrastructure
• Reduce operational overhead through automation and tooling

Required Qualifications

• 3+ years of experience in DevOps, SRE, or infrastructure engineering
• End-to-End MLOps/LLMOps Expertise: Experience deploying and maintaining ML/AI workflows. Familiarity with the unique nature of promoting AI assets (models, datasets, and code) through the lifecycle.
• Strong cloud experience (AWS preferred)
• Proficiency with Terraform (or similar IaC tools)
• Experience with Docker and Kubernetes
• Familiarity with CI/CD and Git-based workflows
• Experience supporting data platforms (e.g., Airflow, Kafka, Spark, or similar)
• Programming/scripting (Python, Bash, or similar)
• Experience with observability tools and practices

Preferred Qualifications

• Experience with MLOps tooling (e.g., MLflow, SageMaker, Kubeflow)
• Familiarity with LLM-based systems and AI observability(token usage tracking, prompt versioning) and evaluation loops
• Experience with real-time or high-throughput data systems
• Exposure to security and compliance requirements (e.g., SOC 2, HIPAA)
• Experience with specific MLOps tooling (Outerbounds, SageMaker, Metaflow) and vector database

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

Notice to Candidate:

SimplePractice has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We do not have any affiliation or connection to these situations and only post open roles on our official Careers page (simplepractice.com/careers) and reputable job boards like our official LinkedIn or Indeed pages.

All official SimplePractice recruitment emails will be sent from the domains @simplepractice.com, no-reply@greenhouse.io or no‑reply@linkedin.com email addresses.

Examples of fraudulent domains include careers-simplepractice.com, simplepractices.com, and simplepractice.careers.

Please note that SimplePractice will never ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.

Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.

The amount below represents the expected annual base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.

Base Compensation Range

$1,124,480—$1,405,600 MXN

We are looking for a passionate and skilled AI engineer to lead the AI engineering practice at a team or program level. In this role, you will guide the design and delivery of generative AI solutions, shape the technical roadmap for your team(s), and ensure high standards of engineering excellence. You will provide technical leadership to a small group of engineers, collaborate with product and business partners, and act as a trusted technical consultant for stakeholders.

Job responsibilities

• Lead a cross-functional team of software engineers, data scientists and other specialists delivering GenAI solutions.
• Guide the design and delivery of AI-powered systems that are scalable, reliable and production-ready.
• Set direction for technical decisions, ensuring AI solutions are optimized for performance, cost and maintainability.
• Collaborate closely with product managers, designers and stakeholders to align technical solutions with business goals.
• Establish and promote best practices in AI engineering, covering testing, guardrails, responsible AI, monitoring and documentation, while uplifting the team by sharing knowledge, tools and practices that enable both SMEs and generalists to contribute effectively.
• Provide architectural guidance, balancing experimentation with delivery in short, safe cycles.
• Review designs and code across the team, ensuring quality and consistency in AI-enabled features.
• Set direction for GenAI application optimization to improve accuracy, performance, cost and know when model tuning is required.

Job qualifications

Technical Skills

• Strong expertise in Python and modern software engineering practices, including CI/CD, testing, version control and system reliability.
• Proven ability to design and integrate end-to-end AI systems, ensuring scalability, maintainability and performance.
• Deep experience with GenAI and agentic frameworks, guiding teams in their effective use.
• Expertise in building and scaling RAG pipelines and integrating vector databases into production systems.
• Experience deploying AI solutions on major cloud platforms, using containers and CI/CD pipelines for reproducibility.
• Skilled in LLMOps practices and monitoring production systems with observability tools.
• Experience with fine-tuning, model adaptation and advanced use of ML/NLP frameworks.

Professional Skills

• Ability to articulate complex technical concepts to non-technical audiences and influence senior decision-makers.
• Proven ability to inspire, mentor and develop high-performing engineering teams, fostering a collaborative and inclusive environment.
• Demonstrates the ability to anticipate technological trends and proactively shape the technical direction of the team.
• Skilled in navigating complex internal and external dynamics, driving consensus and achieving technical and business goals.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.

EEO

Thoughtworks is an equal-opportunity employer. We are committed to providing equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable federal, state, or local law. We prohibit discrimination and harassment of any kind and are dedicated to providing a work environment free from discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, stermination, layoff, recall, transfer, leaves of absence, compensation, and training.

Thoughtworks is also an affirmative action employer of veterans and individuals with disabilities.

For additional information, please see the Thoughtworks, Inc. Equal Employment Opportunity & Affirmative Action Policy Statement.

US - Work Authorization

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment in the United States.

Accommodations

Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law.

If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process.

Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements.

Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process.

Cancellations

As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

#LI-Onsite

Salary

Benefits: https://www.thoughtworks.com/en-us/careers/benefits

The annual salary range posted is subject to many factors and may vary depending on experience, geographic location, job responsibilities, performance, skills and/or training.

Salary

$198,000—$261,000 USD

See here our AI policy.

We are looking for a passionate and skilled AI engineer who is responsible for designing and delivering complex generative AI solutions. This role requires the ability to work autonomously on challenging technical problems, provide mentorship to junior engineers and champion engineering best practices.

Job responsibilities

• Design, build and deploy GenAI applications using techniques such RAG, Agents, Multi Agent Systems etc., taking ideas from prototype to production.
• Work with both AI/ML engineers and software engineers to deliver reliable, scalable systems.
• Own key features or components, ensuring they are well-structured, efficient and easy to maintain.
• Make technical decisions and contribute to system design with attention to performance, cost and reliability.
• Collaborate with product managers, designers and data scientists to turn business needs into practical solutions.
• Share knowledge and mentor junior team members, helping them grow their technical skills.
• Review code and provide clear, constructive feedback to peers.
• Understand deployment options and trade offs across different cloud providers such as AWS, Azure, Google Cloud, etc.
• Understand optimization techniques to improve accuracy, performance and cost for GenAI applications.

Job qualifications

Technical Skills

• Strong software engineering fundamentals, including Python, CI/CD, testing, version control and clean code practices.
• Solid grasp of software design principles and ability to design and implement AI-powered components or workflows.
• Experience with at least one GenAI framework (e.g., LangChain, LlamaIndex, Semantic Kernel) and one agentic framework (e.g., PydanticAI, LangGraph, AutoGen2).
• Hands-on experience building and optimizing Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., FAISS, Pinecone, Weaviate).
• Familiarity with deploying AI solutions on major cloud platforms (AWS, Azure or GCP), with basic use of containers (Docker) and CI/CD pipelines.
• Experience using LLMOps and observability tools (e.g., Langfuse, PromptLayer, OpenTelemetry) in production.
• Exposure to fine-tuning and use of ML/NLP frameworks such as PyTorch or Hugging Face Transformers.

Professional Skills

• Ability to independently solve complex, ambiguous technical problems.
• Willingness and ability to guide and mentor junior engineers, sharing knowledge and best practices.
• Strong collaborative skills, working effectively with diverse, cross-functional teams.
• Thrives in a dynamic and fast-paced environment, demonstrating resilience in the face of challenges.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.

EEO

Thoughtworks is an equal-opportunity employer. We are committed to providing equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable federal, state, or local law. We prohibit discrimination and harassment of any kind and are dedicated to providing a work environment free from discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, stermination, layoff, recall, transfer, leaves of absence, compensation, and training.

Thoughtworks is also an affirmative action employer of veterans and individuals with disabilities.

For additional information, please see the Thoughtworks, Inc. Equal Employment Opportunity & Affirmative Action Policy Statement.

US - Work Authorization

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment in the United States.

Accommodations

Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law.

If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process.

Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements.

Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process.

Cancellations

As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

#LI-Onsite

See here our AI policy.

Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world’s largest Fortune 1000 and Global 2000 companies.

Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens—Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they’re transforming how SaaS is secured.

With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.

With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.

About the Role

We’re hiring Security Data Engineers to join our Manchester team and work at the heart of our SaaS and AI security platform. This is a data engineering role first — you’ll spend most of your time building and maintaining the data pipelines that power Obsidian’s detection and analytics capabilities.

The role sits at an interesting intersection: the work is technically demanding data engineering, but the context is security. You don’t need a security CV — you need to be a strong data engineer who is curious about how modern SaaS and AI platforms work, and what makes them risky.

What you’ll do

• Build and maintain data retrieval integrations across major SaaS and AI platforms — connecting to APIs, handling auth flows, and ensuring reliable telemetry ingestion.
• Design and develop dbt models in SQL on Clickhouse and Databricks, transforming raw platform data into clean, structured datasets ready for analysis.
• Build rule-based checks to identify risky configurations and unusual activity patterns across SaaS and AI platforms — translating security insight into logic.
• Develop a working understanding of how SaaS and AI platforms are structured and where security risks emerge, to inform what data we collect and what we look for.
• Debug data quality and detection issues in customer environments, working closely with the wider engineering and customer success teams.=

What we’re looking for

Requirements

• 4+ years of hands-on data engineering experience, including dbt and SQL.
• Strong SQL — you’re comfortable writing complex data models and transformations from scratch.
• Experience building or maintaining data pipelines that process high-volume event or log data.
• Comfortable working with REST APIs and integrating data from third-party platforms.
• Python proficiency for scripting, data manipulation, and pipeline logic.
• Some exposure to security concepts — enough to understand what ‘risky’ looks like in a SaaS or cloud context.
• This can come from working in a security company, cloud engineering, compliance, or your own interest.

Nice to have

• Hands-on experience with Clickhouse or Databricks.
• Familiarity with SaaS platforms such as Google Workspace, Microsoft 365, Salesforce, or Okta — from any angle (admin, engineering, or security).
• Understanding of identity and authentication concepts: OAuth, SAML, SSO, and directory services.
• Experience working with security telemetry — audit logs, API event streams, or similar.
• Interest in AI/LLM platforms and how they introduce new security considerations.

Why join us

• Work on a genuinely novel problem — securing SaaS and AI platforms is one of the fastest-moving areas in enterprise security.
• Become a domain expert by learning from the industry’s leading SaaS security team.
• Ideas move fast here — you’ll go from concept to customer impact in weeks, not quarters.
• Work for a Silicon Valley-headquartered company without leaving Manchester — hybrid working, with a team and product that operates at the highest level globally.
• Join a team that values engineering craft and gives you the space to do the work properly.

Employee Benefits

Our competitive benefits packages are designed to support our employees’ well-being, both at work and at home.  Our US based employees enjoy:

• Competitive compensation with equity and 401k
• Comprehensive healthcare with dental and vision coverage
• Flexible paid time off and paid holiday time off
• 12 weeks of new parent or family leave
• Personal and professional development resources

For more details on our US benefits, or for information on our international benefits, please see here.

Pay Transparancy

Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company.

At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization.  If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com

Information collected and processed as part of any job applications you choose to submit is subject to Obsidian’s Applicant Privacy Policy.

Base Salary Range

£91,000—£106,000 GBP

DevOps Engineer (Data & AI Platform)

Role Summary

We are hiring a DevOps Engineer to support and scale our Data and AI platform in production. This role focuses on building reliable infrastructure for data pipelines and ML systems, standardizing deployment patterns, and ensuring performance, observability, and cost efficiency across compute-intensive workloads.

Responsibilities

• Build and operate infrastructure for data pipelines and AI/ML workloads
• Develop and maintain CI/CD for application and model lifecycle (build, train, deploy)
• Manage Infrastructure as Code (Terraform) across environments
• Support containerized workloads and orchestration (Docker, Kubernetes)
• Partner with Machine Learning teams and engineering to productionize models
• Implement monitoring, logging, and tracing for data flow and model performance
• Improve reliability, scalability, and cost efficiency of data systems
• Enforce security and access controls for data and infrastructure
• Reduce operational overhead through automation and tooling

Required Qualifications

• 3+ years of experience in DevOps, SRE, or infrastructure engineering
• End-to-End MLOps/LLMOps Expertise: Experience deploying and maintaining ML/AI workflows. Familiarity with the unique nature of promoting AI assets (models, datasets, and code) through the lifecycle.
• Strong cloud experience (AWS preferred)
• Proficiency with Terraform (or similar IaC tools)
• Experience with Docker and Kubernetes
• Familiarity with CI/CD and Git-based workflows
• Experience supporting data platforms (e.g., Airflow, Kafka, Spark, or similar)
• Programming/scripting (Python, Bash, or similar)
• Experience with observability tools and practices

Preferred Qualifications

• Experience with MLOps tooling (e.g., MLflow, SageMaker, Kubeflow)
• Familiarity with LLM-based systems and AI observability(token usage tracking, prompt versioning) and evaluation loops
• Experience with real-time or high-throughput data systems
• Exposure to security and compliance requirements (e.g., SOC 2, HIPAA)
• Experience with specific MLOps tooling (Outerbounds, SageMaker, Metaflow) and vector database

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

Notice to Candidate:

SimplePractice has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We do not have any affiliation or connection to these situations and only post open roles on our official Careers page (simplepractice.com/careers) and reputable job boards like our official LinkedIn or Indeed pages.

All official SimplePractice recruitment emails will be sent from the domains @simplepractice.com, no-reply@greenhouse.io or no‑reply@linkedin.com email addresses.

Examples of fraudulent domains include careers-simplepractice.com, simplepractices.com, and simplepractice.careers.

Please note that SimplePractice will never ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.

Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.

The amount below represents the expected annual base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.

Base Compensation Range

$1,124,480—$1,405,600 MXN

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Locations Available: Austin (US)

About Role

We are actively seeking experienced and highly motivated Distributed Systems Engineers to join Cloudflare’s dynamic DATA Organisation. This is a pivotal opportunity to contribute to the future of data at Cloudflare, working on systems that are fundamental to our global operations and customer insights. Our organisation is responsible for the entire data lifecycle, encompassing everything from initial ingestion and sophisticated processing to robust storage and efficient retrieval. These systems are the backbone that power critical logs and analytics, providing our customers with real-time, actionable visibility into the health, performance, and security of their online properties.

Our overarching mission is to empower customers to leverage their data effectively, enabling them to drive superior outcomes for their businesses. To achieve this, we design, build, and maintain a suite of high-performance, massively scalable distributed systems that are engineered to handle an unprecedented scale – processing well over a billion events per second. As an engineer within our organisation, you will be presented with unique challenges across various critical parts of our intricate data stack. This role offers the chance to work on cutting-edge technologies and contribute to solutions that operate at the very edge of internet infrastructure.

Our Data Organisation is strategically composed of several key teams, each focusing on a distinct aspect of our comprehensive data platform:

• Data Delivery / Data Pipeline: This team is responsible for the design, development, and operation of our distributed data delivery pipeline. This system is a high-throughput, low-latency powerhouse, primarily written in Go, and is tasked with ingesting, processing, and intelligently routing massive volumes of data originating from across Cloudflare’s vast global network to multiple core destinations. This involves handling diverse data types and ensuring reliable, timely delivery to various downstream systems.

• Analytical Database Platform: Engineers on this team contribute to and evolve our core analytical platform, which is powered by ClickHouse. This team is dedicated to building and maintaining a high-performance, scalable database platform meticulously optimised for the immense analytical workloads generated by all of Cloudflare’s products and services. This includes ensuring data integrity, query optimisation, and continuous platform scalability to meet ever-growing demands.

• Data Retrieval (Customer-Facing Products): This department is focused on building and continuously improving our customer-facing products, making data not only accessible but also genuinely actionable for our users. This department comprises two main groups:

  • Analytics and Alerts: Members of this group are at the forefront of developing our public APIs such as the GraphQL Analytics API, providing customers and internal Cloudflare teams with flexible access to their data. They will also work on our alerting platform, empowering users to configure and receive near real-time alerts based on the critical logs and metrics observed by our robust data platform. This includes designing intuitive alerting mechanisms and ensuring the reliability of notification systems.
  • Logs and Audit Logs: This specialised team is dedicated to building a robust and easy-to-use logging platform that powers reliable data delivery and seamless integrations with customer destinations. The team’s mission is to make it simple for customers to access, manage, and use their log data — ensuring that critical datasets, including comprehensive audit logs, are delivered securely and efficiently to their preferred storage and analysis platforms. The work spans developing intuitive connectors, ensuring data integrity, optimising delivery pipelines, and upholding strict standards for compliance, performance, and usability.

Responsibilities

This particular role is focused on the Logs and Audit Logs group. As a Software Engineer you will focus on the following areas:

• Design, build, and operate a robust logging platform, ensuring reliable logging, and secure data transfer to a wide array of customer destinations and third-party integrations.
• Develop and maintain high-performance data connectors and integrations for our log-shipping products, focusing on usability, scalability and data integrity.
• Create and manage systems for handling comprehensive audit logs, ensuring they are delivered securely and adhere to strict compliance and performance standards.
• Scale and optimise the data delivery pipeline to handle massive data volumes with low latency, identifying and removing bottlenecks in data processing and routing.
• Work closely with Product and other engineering teams to define requirements for a new logging platform and integrations.
• Maintain the operational health of our log delivery platform through comprehensive monitoring and participation in an on-call rotation (with flexibility for out-of-hours technical issue resolution).
• Collaborate on the architectural evolution of our data egress platform, researching and implementing new technologies to improve efficiency and reliability.

Key Qualifications

• 3+ years of experience working in software development covering distributed systems and data pipelines.
• Strong programming skills (Go is preferable), with a deep understanding of software development best practices for building resilient, high-throughput systems.
• Hands-on experience with modern observability stacks, including Prometheus, Grafana, and a strong understanding of handling high-cardinality metrics at scale.
• Strong knowledge of SQL, including experience with query optimisation.
• A solid foundation in computer science, including algorithms, data structures, distributed systems, and concurrency.
• Strong analytical and problem-solving skills, with a willingness to debug, troubleshoot, and learn about complex problems at high scale.
• Ability to work collaboratively in a team environment and communicate effectively with other teams across Cloudflare.
• Experience with data streaming technologies (e.g., Kafka, Flink) is a strong plus.
• Experience with various logging platforms or SIEMs (e.g., Splunk, Datadog, Sumo Logic) and storage destinations (e.g., S3, R2, GCS) is a plus.
• Experience with Infrastructure as Code tools like SALT or Terraform is a plus.
• Experience with Linux container technologies, such as Docker and Kubernetes, is a plus.

If you’re passionate about building scalable and performant data platforms using cutting-edge technologies and want to work with a world-class team of engineers, then we want to hear from you! Join us in our mission to help build a better internet for everyone!

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Locations Available: Austin (US)

About Role

We are looking for an experienced and highly motivated engineer to join our team and contribute to our analytical database platform. The platform is a critical component of Cloudflare Analytics which provides real-time visibility into the health and performance of Cloudflare customers’ online properties.

The team builds and maintains a high-performance, scalable database platform powered by ClickHouse, optimized for analytical workloads. We help our customers, both internal and external, to gain a deeper understanding of their online properties, identify trends and patterns, and make informed decisions about how to optimize their web performance, security, and other key metrics. Our mission is to empower customers to leverage their data to drive better outcomes for their business.

As a Distributed systems engineer - Analytical Database Platform, you will:

• Develop and implement new platform components for the Cloudflare Analytical Database Platform to improve functionality and performance.

• Add more database clusters to accommodate the growing volume of data generated by Cloudflare products and services.

• Monitor and maintain the performance and reliability of existing database platform clusters, and identify and troubleshoot any issues that may arise.

• Work to identify and remove bottlenecks within the analytics database platform, including optimizing query performance and streamlining data ingestion processes.

• Collaborate with the ClickHouse open-source community to add new features and functionality to the database, as well as contribute to the development of the upstream codebase.

• Collaborate with other teams across Cloudflare to understand their data needs and build solutions that empower them to make data-driven decisions.

• Participate in the development of the next generation of the database platform engine, including researching and evaluating new technologies and approaches that can improve the database’s performance and scalability.

Key qualifications:

• 3+ years of experience working in software development covering distributed systems, and databases.

• Strong programming skills (Golang, python, C++ are preferable), as well as a deep understanding of software development best practices and principles.

• Strong knowledge of SQL and database internals, including experience with database design, optimization, and performance tuning.

• A solid foundation in computer science, including algorithms, data structures, distributed systems, and concurrency.

• Ability to work collaboratively in a team environment, as well as communicate effectively with other teams across Cloudflare.

• Strong analytical and problem-solving skills, as well as the ability to work independently and proactively identify and solve issues.

• Experience with ClickHouse is a plus.

• Experience with SALT or Terraform is a plus.

• Experience with Linux container technologies, such as Docker and Kubernetes, is a plus.

If you’re passionate about building scalable and performant databases using cutting-edge technologies, and want to work with a world-class team of engineers, then we want to hear from you! Join us in our mission to help build a better internet for everyone!

This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.

Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.

Location: Hybrid / San Francisco, CA

What’s the role?

We are looking for a Staff Software Engineer to act as the technical anchor for a small, focused team working on Data and ML infrastructure. Your work will directly support large-scale machine learning applied to precision healthcare.

This is a highly technical, player-coach role. You will set the architectural vision and guide the day-to-day technical execution of the team, remaining deeply hands-on in the codebase. Whether you are already a seasoned tech lead or a Staff Individual Contributor (IC) ready to step up and guide a sub-team of engineers, this position gives you the platform to lead technically.

This is a full-time position operating on a hybrid schedule out of our San Francisco office.

What’s this team like at Heartflow?

We build Data & ML infrastructure to simplify developing, evaluating, and deploying algorithms on massive medical imaging datasets. Our team owns critical platforms across the stack: data systems focused on curation and analytics, as well as our core ML environment for both training and inference.

We design our infrastructure to not just be highly performant, but also easy to use. We are proponents of self-serve interfaces and robust user documentation. Our team tackles challenging problems using first-principles thinking, and we greatly value the ability to break down complex architectural challenges into digestible, well-communicated solutions.

What does the day-to-day look like?

• Act as the technical lead and mentor for a small, high-impact team of engineers, guiding system design, conducting code reviews, and unblocking technical hurdles.
• Write high-performance Python code and utilize frameworks like Ray to architect and maintain large-scale distributed computing platforms for ML training and evaluation.
• Spearhead the deployment of complex ML algorithms into highly available, scalable cloud environments, ensuring models run efficiently in production.
• Design and integrate robust cloud-data systems to manage the lifecycle of massive, unstructured medical datasets.
• Work cross-functionally with researchers and engineers to understand how they develop models, using that understanding to solve their ML training, serving, and production monitoring needs.
• Responsibly and securely utilize AI-powered development tools (like coding assistants or LLMs) to accelerate the team’s engineering workflows.

Qualities that will help you thrive in this role are:

• 8+ years of professional software engineering experience, with a strong focus on ML infrastructure, distributed systems, or MLOps.
• A history of mentoring peers and leading technical projects, and an excitement to act as the technical anchor for a small team of engineers.
• Ability to write clear, well-tested, and scalable code, with high proficiency in Python.
• Deep understanding of modern distributed computing architectures and how to optimize heavy compute and cloud-data workloads (AWS, GCP, or Azure).
• Familiarity with infrastructure as code (e.g., CDK, Terraform).
• Familiarity with modern distributed computing frameworks and table formats like Ray, Kubernetes, and Apache Iceberg.
• Knowledge of cross-language bindings for high-performance computing (e.g., C++/Python).
• Prior experience in the healthcare domain, highly-regulated environments, or handling image-based algorithms is a huge plus.

Salary Range: $190,000 - $250,000 base, plus cash bonus and equity.

Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.

Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.

Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with “@heartflow.com” and B) the position described is found on our careers site at www.heartflow.com/about/careers/.

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.

We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution.  Ready to come find your playground? Together, we can help shape the endless possibilities of AI.

Location: Hybrid—Santa Clara, CA headquarters, 3–5 days/week onsite

Team: Kernels | Reports to: Engineering Manager, Kernels

Cross-functional interface: QA / Test Engineering

About the Role

We are looking for a Staff Software Engineer, Test & Validation – AI Kernels to embed within our Kernels team and own the quality engineering function for our AI compute software stack. You will design and build the test infrastructure, validation frameworks, and automated verification pipelines that ensure correctness, performance, and reliability of software kernels running on next-generation AI hardware. You will serve as the primary quality interface between the Kernels team and the broader QA organization, driving alignment on test strategy, coverage, and release readiness.

This is a high-impact, deeply technical role that requires both strong software engineering skills and a rigorous quality mindset. You will work alongside compiler engineers, ML software engineers, and hardware architects while partnering closely with QA leads to define standards and share best practices across the company.

What You Will Do

Test Infrastructure & Automation

• Design, build, and maintain scalable automated test frameworks for kernel validation across simulation, emulation, and silicon targets.

• Develop correctness and performance regression suites covering ML operators (GEMMs, convolutions, BLAS, SIMD ops, softmax, layer norm, pooling, etc.).

• Implement testing pipelines integrated into CI/CD workflows, enabling rapid feedback on kernel changes.

• Build tooling to automate comparison of kernel outputs against reference implementations (e.g., CPU-based golden references, PyTorch/TensorFlow baselines).

Kernel & Hardware Validation

• Develop test coverage for software kernels targeting specialized hardware including AI accelerators, DSPs, FPGAs, and SIMD vector processors (e.g., Tensilica).

• Validate numerical precision, edge cases, and boundary conditions for ML operators across data types and hardware configurations.

• Partner with hardware teams (mixed signal, DSP, CPU) to validate hardware-software co-design assumptions and catch integration issues early.

• Drive validation of compiler-generated code paths (MLIR, LLVM, TVM, etc.) through structured test methodologies.

QA Partnership & Process

• Act as the primary liaison between the Kernels engineering team and the QA organization, aligning on test plans, coverage criteria, and release qualification gates.

• Participate in QA planning ceremonies; represent Kernels team needs and surface quality risks early.

• Contribute to and help maintain shared QA infrastructure, test standards, and reporting dashboards used across engineering.

• Drive root cause analysis for test failures and escaped defects; work with Kernels engineers to close gaps.

Technical Leadership

• Set quality standards and best practices for the Kernels team; mentor engineers on testability design and defensive coding.

• Contribute to design reviews with a quality lens, identifying areas that require additional validation before tape-out or release.

• Influence test strategy across the full software stack: from unit and integration tests to system-level validation on target hardware.

What You Will Bring

Minimum Qualifications

• BSc in Computer Engineering, Computer Science, Math, Physics, or a related field with 6+ years of industry experience; or MS with 4+ years of experience; or PhD with 2+ years of experience, with at least 2 years focused on test engineering, SDET, or quality engineering roles.

• Strong understanding of computer architecture, data structures, and machine learning fundamentals, sufficient to reason about correctness and performance of ML kernels.

• Proficient in C/C++ and Python; experience writing production-quality test code in these languages in Linux environments.

• Experience writing automated tests for algorithms targeting specialized hardware such as GPUs, DSPs, FPGAs, or AI accelerators (e.g., using CUDA or equivalent).

• Familiarity with ML operators commonly used in production workloads: GEMMs, convolutions, BLAS, SIMD operations, softmax, layer normalization, pooling, and similar.

• Experience building or working within CI/CD pipelines and automated regression systems.

• Track record of owning quality outcomes, not just executing tests but defining strategy, coverage, and release readiness criteria.

• Strong cross-functional communication skills; comfortable working across hardware and software teams and representing quality concerns to non-QA stakeholders.

Preferred Qualifications

• Experience embedded in a hardware-adjacent software team (AI accelerator company, cloud compute, or similar) rather than a purely software QA role.

• Hands-on experience with ML frameworks such as PyTorch or TensorFlow, including the ability to write reference implementations for operator validation.

• Familiarity with ML compiler toolchains (MLIR, LLVM, TVM, Glow, etc.) and how to test compiler-generated artifacts.

• Experience with embedded SIMD vector processors such as Tensilica.

• Prior startup or small-team experience; comfort operating with high ownership and limited process overhead.

• Experience defining and implementing formal test plans and coordinating release qualification with a QA organization.

Why This Role

You will have a direct impact on the correctness and quality of AI compute software that ships in next-generation hardware products. As the first Staff SDET on the Kernels team, you will build quality infrastructure from the ground up and establish practices that will scale with the organization. You will work with some of the best compiler and kernel engineers in the industry, with the unique vantage point of sitting at the intersection of hardware and software quality.

Equal Opportunity Employment Policy

d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.

d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.

Inteldot has over 15 years of experience in the life sciences industry, with allocations across Puerto Rico, the United States, Europe, and Japan. This is a great opportunity for one of our leading clients in Puerto Rico.

Administrative shift: Office hour but not limited, ability to work _on weekend or night (hybrid)

Job Description:

Manages and/or applies extensive technical expertise in the coordination of multiple, complex, non-routine projects involving the planning, design, reconfiguration, construction, maintenance and alteration of systems facilities or processes. Employs an extensive technical knowledge of more than one area of engineering (process, unit operations, and equipment project) in complex process characterization, optimization, scale-up, or manufacturing support projects.

Must Have:

• Experience Working with Clean Utilities Systems such as Distilled Water, Purified Water, RO System.
• Experience working on Clean Gases [Process Air, GMP gases supply like Oxygen, Nitrogen]
• Experience documenting and managing Deviation [non-conformance]
• Proficient in GMP documentation and the process improvement of SOP documents.
• Ability to work on Critical Operation and Capital project environment.

Qualifications:

1. Working knowledge of pharmaceutical/biotech processes.

2. Familiarity with validation processes and documentation in a highly regulated environment.

3. Establish engineering policies for a major segment of the company.

4. Interpret, execute, and recommend modifications to company-wide policies.

5. Develop organizational budgets or project budgets encompassing all disciplines for large or complex project.

6. Ability to interpret and apply GLPs and GMPs.

7. Able to develop solutions to routine technical problems of limited scope

8. Demonstrated skills in the following areas of problem solving and applied engineering. Technical report writing and verbal communication in English.

9. Comprehensive understanding of validation protocol execution requirements.

Education:

Doctorate + 2 years Engineering experience OR Masters + 4 years of Engineering experience OR Bachelors in Engineering + 6 years of Engineering experience.

Inteldot has over 15 years of experience in the life sciences industry, with allocations across Puerto Rico, the United States, Europe, and Japan. This is a great opportunity for one of our leading clients in Puerto Rico.

Administrative shift: Office hour but not limited, ability to work _on weekend or night (hybrid)

Job Description:

Manages and/or applies extensive technical expertise in the coordination of multiple, complex, non-routine projects involving the planning, design, reconfiguration, construction, maintenance and alteration of systems facilities or processes. Employs an extensive technical knowledge of more than one area of engineering (process, unit operations, and equipment project) in complex process characterization, optimization, scale-up, or manufacturing support projects.

Requirements (Must Have):

• Experience Working with Clean Utilities Systems such as Distilled Water, Purified Water, RO System.
• Experience working on Clean Gases (Process Air, GMP gases supply like Oxygen, Nitrogen).
• Experience documenting and managing Deviation (non-conformance).
• Proficient in GMP documentation and the process improvement of SOP documents.
• Ability to work on Critical Operation and Capital project environment.

Responsibilities:

1. Working knowledge of pharmaceutical/biotech processes.

2. Familiarity with validation processes and documentation in a highly regulated environment.

3. Establish engineering policies for a major segment of the company.

4. Interpret, execute, and recommend modifications to company-wide policies.

5. Develop organizational budgets or project budgets encompassing all disciplines for large or complex project.

6. Ability to interpret and apply GLPs and GMPs.

7. Able to develop solutions to routine technical problems of limited scope

8. Demonstrated skills in the following areas of problem solving and applied engineering. Technical report writing and verbal communication in English.

9. Comprehensive understanding of validation protocol execution requirements.

Education:

Doctorate + 2 years Engineering experience OR Masters + 4 years of Engineering experience OR Bachelors in Engineering + 6 years of Engineering experience.

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.

Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.

Location: Hybrid / San Francisco, CA

What’s the role?

We are looking for a Staff Software Engineer to act as the technical anchor for a small, focused team working on Data and ML infrastructure. Your work will directly support large-scale machine learning applied to precision healthcare.

This is a highly technical, player-coach role. You will set the architectural vision and guide the day-to-day technical execution of the team, remaining deeply hands-on in the codebase. Whether you are already a seasoned tech lead or a Staff Individual Contributor (IC) ready to step up and guide a sub-team of engineers, this position gives you the platform to lead technically.

This is a full-time position operating on a hybrid schedule out of our San Francisco office.

What’s this team like at Heartflow?

We build Data & ML infrastructure to simplify developing, evaluating, and deploying algorithms on massive medical imaging datasets. Our team owns critical platforms across the stack: data systems focused on curation and analytics, as well as our core ML environment for both training and inference.

We design our infrastructure to not just be highly performant, but also easy to use. We are proponents of self-serve interfaces and robust user documentation. Our team tackles challenging problems using first-principles thinking, and we greatly value the ability to break down complex architectural challenges into digestible, well-communicated solutions.

What does the day-to-day look like?

• Act as the technical lead and mentor for a small, high-impact team of engineers, guiding system design, conducting code reviews, and unblocking technical hurdles.
• Write high-performance Python code and utilize frameworks like Ray to architect and maintain large-scale distributed computing platforms for ML training and evaluation.
• Spearhead the deployment of complex ML algorithms into highly available, scalable cloud environments, ensuring models run efficiently in production.
• Design and integrate robust cloud-data systems to manage the lifecycle of massive, unstructured medical datasets.
• Work cross-functionally with researchers and engineers to understand how they develop models, using that understanding to solve their ML training, serving, and production monitoring needs.
• Responsibly and securely utilize AI-powered development tools (like coding assistants or LLMs) to accelerate the team’s engineering workflows.

Qualities that will help you thrive in this role are:

• 8+ years of professional software engineering experience, with a strong focus on ML infrastructure, distributed systems, or MLOps.
• A history of mentoring peers and leading technical projects, and an excitement to act as the technical anchor for a small team of engineers.
• Ability to write clear, well-tested, and scalable code, with high proficiency in Python.
• Deep understanding of modern distributed computing architectures and how to optimize heavy compute and cloud-data workloads (AWS, GCP, or Azure).
• Familiarity with infrastructure as code (e.g., CDK, Terraform).
• Familiarity with modern distributed computing frameworks and table formats like Ray, Kubernetes, and Apache Iceberg.
• Knowledge of cross-language bindings for high-performance computing (e.g., C++/Python).
• Prior experience in the healthcare domain, highly-regulated environments, or handling image-based algorithms is a huge plus.

Salary Range: $190,000 - $250,000 base, plus cash bonus and equity.

Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.

Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.

Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with “@heartflow.com” and B) the position described is found on our careers site at www.heartflow.com/about/careers/.

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.

Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.

Location: Hybrid / San Francisco, CA

What’s the role?

We are looking for a Staff Software Engineer to act as the technical anchor for a small, focused team working on Data and ML infrastructure. Your work will directly support large-scale machine learning applied to precision healthcare.

This is a highly technical, player-coach role. You will set the architectural vision and guide the day-to-day technical execution of the team, remaining deeply hands-on in the codebase. Whether you are already a seasoned tech lead or a Staff Individual Contributor (IC) ready to step up and guide a sub-team of engineers, this position gives you the platform to lead technically.

This is a full-time position operating on a hybrid schedule out of our San Francisco office.

What’s this team like at Heartflow?

We build Data & ML infrastructure to simplify developing, evaluating, and deploying algorithms on massive medical imaging datasets. Our team owns critical platforms across the stack: data systems focused on curation and analytics, as well as our core ML environment for both training and inference.

We design our infrastructure to not just be highly performant, but also easy to use. We are proponents of self-serve interfaces and robust user documentation. Our team tackles challenging problems using first-principles thinking, and we greatly value the ability to break down complex architectural challenges into digestible, well-communicated solutions.

What does the day-to-day look like?

• Act as the technical lead and mentor for a small, high-impact team of engineers, guiding system design, conducting code reviews, and unblocking technical hurdles.
• Write high-performance Python code and utilize frameworks like Ray to architect and maintain large-scale distributed computing platforms for ML training and evaluation.
• Spearhead the deployment of complex ML algorithms into highly available, scalable cloud environments, ensuring models run efficiently in production.
• Design and integrate robust cloud-data systems to manage the lifecycle of massive, unstructured medical datasets.
• Work cross-functionally with researchers and engineers to understand how they develop models, using that understanding to solve their ML training, serving, and production monitoring needs.
• Responsibly and securely utilize AI-powered development tools (like coding assistants or LLMs) to accelerate the team’s engineering workflows.

Qualities that will help you thrive in this role are:

• 8+ years of professional software engineering experience, with a strong focus on ML infrastructure, distributed systems, or MLOps.
• A history of mentoring peers and leading technical projects, and an excitement to act as the technical anchor for a small team of engineers.
• Ability to write clear, well-tested, and scalable code, with high proficiency in Python.
• Deep understanding of modern distributed computing architectures and how to optimize heavy compute and cloud-data workloads (AWS, GCP, or Azure).
• Familiarity with infrastructure as code (e.g., CDK, Terraform).
• Familiarity with modern distributed computing frameworks and table formats like Ray, Kubernetes, and Apache Iceberg.
• Knowledge of cross-language bindings for high-performance computing (e.g., C++/Python).
• Prior experience in the healthcare domain, highly-regulated environments, or handling image-based algorithms is a huge plus.

Salary Range: $190,000 - $250,000 base, plus cash bonus and equity.

Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.

Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.

Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with “@heartflow.com” and B) the position described is found on our careers site at www.heartflow.com/about/careers/.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

We’re looking for a technical leader who can think strategically, understand how new features impact the entire system, and design smart integrations between NICE CXone and (ex) Brand Embassy products. Someone who combines vision, practicality, and solid engineering judgment.

How will you have an impact?

• Define the architecture of new product innovations in collaboration with Product Management and other architects
• Design integrations between microservices/systems across the NICE product portfolio
• Choose the right patterns, frameworks, and technologies – especially within the AWS ecosystem (SQS, Kinesis, ECS, EKS, …)
• Set the technical direction end-to-end and work closely with development teams
• Propose long-term improvements to system quality and architecture
• Act as a technology evangelist within the organization – share best practices and drive improvement
• Work mainly with PHP and JavaScript
• Contribute to the adoption of AI within our products and internal processes
• Collaborate with a global network of architects and engineers
• You’ll shape a global SaaS platform that connects businesses and customers through 30+ digital channels (WhatsApp, Facebook, Instagram, Twitter, and more)
• As the first digital product in NICE, we integrate with both legacy and new systems – so your work will never get repetitive
• You’ll have real influence on technology direction, scaling strategies, and architecture decisions
• Work in a Prague-based R&D team with a great sense of humor and no corporate stiffness

Have you got what it takes?

You should have relevant experience in the below:

• PHP, JavaScript
• AWS (ECS, EKS, EC2, SQS, Kinesis, Lambda, ElastiCache, RDS, Kafka…)
• OpenSearch
• CI/CD pipelines
• DDD, clean architecture, microservices

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 11089 Reporting into: Tech Manager

Role Type: Individual Contributor

🥇 Software Architect

Máš za sebou roky vývoje v PHP, baví tě přemýšlet nad věcmi v širším kontextu a víš, jak obhájit svůj návrh i před dalšími architekty ve velké technologické firmě?🎯 Super! Možná hledáme právě tebe.

Hledáme technologického lídra, který dokáže domýšlet dopady nových funkcí napříč systémy a navrhovat elegantní integrace mezi produkty NICE CXone a (ex) Brand Embassy. Zkrátka člověka, který dokáže spojit vizi, praxi a technologickou čistotu.

\_\_\_______________________________________________________________________

• 💬 Co u nás budeš dělat:
• Definovat architekturu nových produktových inovací ve spolupráci s product managementem a dalšími architekty
• Navrhovat integrace mezi microservices / systémy napříč NICE portfoliem
• Určovat správné technologické patterny a stack (hlavně v AWS: SQS, Kinesis, ECS, EKS…)
• Nastavovat technický směr end-to-end a úzce spolupracovat s vývojovými týmy
• Navrhovat dlouhodobá zlepšení architektury a kvality kódu
• Být technologickým evangelistou – sdílet know-how a podporovat dobré praktiky
• Pracovat v kontextu PHP, JavaScript a přispívat k zavádění AI do našich procesů i produktů
• Spolupracovat s globálním týmem architektů a vývojářů

\_\_\_______________________________________________________________________

• ⚙️ Co používáme:
• PHP, JavaScript
• AWS (ECS, EKS, EC2, SQS, Kinesis, Lambda, ElastiCache, RDS, Kafka…)
• OpenSearch
• CI/CD pipelines
• DDD, clean architecture, microservices

\_\_\_______________________________________________________________________

• 🚀 Proč tě to u nás bude bavit:
• Stavíme globální SaaS platformu, která propojuje firmy a jejich zákazníky přes 30+ digitálních kanálů (WhatsApp, FB, IG, Twitter aj.)
• Jako první digitální produkt v NICE se integrujeme napříč staršími i novými systémy – takže se rozhodně nebudeš nudit
• Budeš mít velký prostor ovlivnit směr technologií, škálování i integrace
• Čeká tě tým lidí, co si umí dělat srandu, ale berou kvalitu a architekturu vážně

\_\_\_______________________________________________________________________

• 🎁 Co za to dostaneš ty:
• 🏢 Moderní kancelář v Karlíně – hned u metra Křižíkova
• 🌴 Neomezená dovolená a flexibilní režim (stačí 2× týdně v kanclu)
• 💸 2 500,- v Pluxee bodech na měsíc + stravenkový paušál
• 💡 8 dní na hackathony ročně
• 💸 Plně hrazená nemocenská
• 📚 Rozpočet na vzdělávání
• 🍳 Firemní snídaně a pohodová atmosféra
• ⚽ Fotbálky, klikové výzvy a další kancelářské srandičky
• 🧘 Minimum meetingů – maximum prostoru na práci
• 💻 Firemní notebook
• 🔒 Stabilní zázemí globální firmy

#LI-Hybrid

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.