GitHub Actions Jobs in Spain.
All active GitHub Actions roles based in Spain.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
- Incorporarse a un equipo multidisciplinar y participar en la construcción de un proyecto greenfield desde su inicio.
- Diseñar, desarrollar y evolucionar APIs y microservicios desde la fase de definición hasta su puesta en producción.
- Colaborar activamente en la definición de estándares técnicos, buenas prácticas y calidad del código.
- Integrarse en flujos de trabajo basados en control de versiones, integración continua y despliegue continuo.
- Comprender en profundidad los sistemas para proponer e implementar soluciones técnicas adecuadas a los retos del negocio.
- Nivel de inglés fluido, hablado y escrito (mínimo C1).
- Experiencia sólida con Java 17 y/o Java 21.
- Experiencia avanzada en Spring Boot 3.5.x o 4.0.x.
- Dominio de Git a nivel experto.
- Conocimientos a nivel desarrollador en CI/CD (Jenkins, GitHub Actions u otros equivalentes).
- Conocimientos a nivel desarrollador en OpenAPI.
- Conocimientos a nivel desarrollador en AI Prompting.
- Disponibilidad para trabajar con equipo corporativo Mac, que deberá estar disponible desde el primer día de prestación del servicio.
- Experiencia con servicios en la nube, especialmente AWS.
- Experiencia en desarrollo o implementación de agentes de IA.
• Modalidad flexible y posibilidad de trabajo remoto.
• Plan de carrera personalizado y formación continua
• Participación en proyectos estables con alto componente técnico.
• Flexibilidad horaria y enfoque en la conciliación.
• Beneficios sociales adaptados a tus necesidades
#LI-RD1
Ready to apply?
Apply to NEORIS
Senior/Lead QA Engineer
Lucanet is the CFO Solution Platform built for modern finance & tax teams, offering an integrated suite of solutions to simplify and automate their most critical finance processes. More than 6,000 companies around the world rely on our easy-to-use, out-of-the-box SaaS platform - from consolidation and financial planning to tax compliance and reporting, ESG reporting, banking and cash management, and more. PE-backed and growing our footprint across global markets.
Behind the platform is a global team of 850+ people who care about doing the work well. We challenge each other to push boundaries, move fast without cutting corners, and build solutions that genuinely change how finance & tax leaders operate. If you're looking for a place where your work has real reach - and where your growth is part of the deal - this is it.
Discover more about Lucanet as an employer.The Role
We are seeking a Senior QA Engineer to act as a hybrid quality champion within our engineering department. In this position, you will bridge the gap between manual and automated testing, leading the transition toward a highly automated, AI-assisted QA environment.
You will join the Data Import team, a cross-functional product team that owns one of the most foundational capabilities of the Lucanet platform. It's where the platform starts: the team brings large volumes of customer data into Lucanet, organizes it into reporting entities, and that's what unlocks the entire platform for our customers.
This capability underpins month-end closing and financial reporting for our customers. The team works closely with other product areas within Consolidation Financial Planning and the Data Platform team to ensure reliability, scalability, and data correctness.
From a quality perspective, this area comes with real complexity: high data volumes, complex business rules, and strong expectations around accuracy. The team is actively evolving how quality is owned, moving from traditional QA towards quality engineering and developer-led testing, with QA acting as a strategic partner across the full software development life cycle.
The core mission for this project is to implement a robust 'developer-led testing' methodology. We are actively shifting quality responsibilities to the development team, empowering our developers to write their own tests. Your role will be to act as a quality consultant, guiding, pair-programming, and verifying the work of the developers rather than solely writing tests in isolation. You will also work closely with a wider QA community of seven automation engineers to ensure our testing strategy is scalable.
What you'll do
- Empower engineers to own quality: Coach engineers to take ownership of quality end-to-end through pair programming, pair testing, and knowledge transfer sessions, building confidence and testing capabilities across the team
- Testing Across Backend and Frontend: Work across backend services and frontend applications with experience in unit, integration, and API E2E testing in Java (JUnit, Mockito) on the backend, and unit, component, and E2E testing in Angular (Jest, Angular Testing Library, Playwright) on the frontend, with a risk-based focus.
- Enhance Test Automation Frameworks: Build and evolve automation across the full test pyramid, balancing fast unit and integration tests with targeted E2E suites for the most complex and critical scenarios.
- Implement Agentic Test Generation: Develop and maintain agents that generate, extend, and self-heal tests. Design AI rules, skills, and instructions that translate requirements and implementations into test cases, catching issues in our agentic SDLC.
- Monitor Post-Release Health: Establish and use monitoring tools (like Sentry or Grafana) to track production health and detect issues early, so that we can resolve them with engineering teams.
- Drive Quality Engineering: Continuously evaluate and challenge our testing approach across architecture, processes, and tooling. Identify what's holding quality back, experiment with new approaches, shape a cross-team strategy, and lead the rollout that reduces quality risk and scales with our products and teams.
- Collaborate Cross-Functionally: Work closely with product managers, designers, developers, engineering managers, team leads, and the wider QA team to align on quality objectives.
What you bring to the table
- 5+ years of experience in QA automation and quality engineering.
- Extensive experience in QA automation, specifically with TypeScript and Playwright (including Playwright MCP or CLI).
- Solid understanding of how to test in a Java and Angular stack, including unit and integration testing with JUnit and Mockito on the backend, API E2E testing where user flows chain multiple services, and unit and component testing with Jest and Angular Testing Library on the frontend.
- Hands-on experience with CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or Jenkins) and with implementing pipeline strategies to run tests efficiently.
- Demonstrated experience using AI coding tools (such as Cursor or Claude) for agentic test generation.
- Experience in designing AI rules and skills that turn requirements into tests, including self-healing tests or AI-driven test maintenance.
- Familiarity with monitoring and observability tools (such as Sentry or Grafana) and experience using production data to drive quality decisions.
- Strong understanding of testing strategies, architecture, and modern quality engineering methodologies, including shift-left and developer-owned testing approaches.
- Experience testing complex, data-heavy enterprise software, ideally in financial, accounting, or consolidation platforms.
- Strong coaching and mentoring skills, with experience pairing with engineers, leading knowledge transfer, and building testing capability across teams.
- Strong communication skills, experienced in working with engineering managers, product managers, designers, developers, and QA leads to align on quality goals.
- A proactive and analytical mindset, with the ability to challenge existing processes and how AI is changing them, propose new ideas, and drive them through to adoption.
- Previous experience driving QA transformations, for example shifting test ownership toward the development team, introducing AI into test workflows and frameworks, or evolving teams from manual to automated testing, is a strong plus.
Perks at work:
- 💰 Total Transparency: No guessing games. We offer a competitive salary and provide full compensation transparency during your very first call with our Recruitment team.
-
🏆 Annual Performance Bonuses: Your results matter. Exceptional performance is rewarded with annual performance-based bonuses.
- 💳 Monthly Flex-Benefit: Take control of your perks with 1,375 RON per month on our flexible benefit platform - spend it on what matters most to you!
- 🏡 Work Your Way: enjoy the freedom of Remote or Hybrid work tailored to your needs and wishes.
- 🩺 Premium Wellness: Stay at your best with a Premium Medical Subscription at Regina Maria for you and your peace of mind.
- 🌴 Rest & Recharge: We value your downtime. Enjoy 25 days of PTO + 2 extra "Lucanet Days" per year to ensure you stay refreshed and inspired
Powered by uniqueness
Everybody’s different here and we like it that way. At Lucanet, we embrace the unique qualities of every person. We are dedicated to creating an inclusive workplace where all employees can thrive and feel valued. Regardless of your gender identity, sexual orientation, personal expression, racial identity, ethnicity, religious belief, or disability statuses, you are welcome at Lucanet just as you are. Our recruitment process is solely based on qualifications, merit, and organizational needs, ensuring fairness and equal opportunities for all candidates.
We recognize that every person brings a unique blend of skills and experiences. If you believe you will excel in this role, we want to hear from you – even if you do not check every box on the list. We only want to know why you are great for this role, so please avoid including your picture, age, and marital status in your CV.
Learn more about our DE&I journey
GDPR Notification
Please follow the provided link to understand how we comply with GDPR requirements and what measures we take to ensure your data is safe.
Data protection Lucanet
Ready to apply?
Apply to Lucanet Group
Senior QA Engineer
Lucanet is the CFO Solution Platform built for modern finance & tax teams, offering an integrated suite of solutions to simplify and automate their most critical finance processes. More than 6,000 companies around the world rely on our easy-to-use, out-of-the-box SaaS platform - from consolidation and financial planning to tax compliance and reporting, ESG reporting, banking and cash management, and more. PE-backed and growing our footprint across global markets.
Behind the platform is a global team of 850+ people who care about doing the work well. We challenge each other to push boundaries, move fast without cutting corners, and build solutions that genuinely change how finance & tax leaders operate. If you're looking for a place where your work has real reach - and where your growth is part of the deal - this is it.
Discover more about Lucanet as an employer.The Role
We are seeking a Senior QA Engineer to act as a hybrid quality champion within our engineering department. In this position, you will bridge the gap between manual and automated testing, leading the transition toward a highly automated, AI-assisted QA environment.
You will join the Data Import team, a cross-functional product team that owns one of the most foundational capabilities of the Lucanet platform. It's where the platform starts: the team brings large volumes of customer data into Lucanet, organizes it into reporting entities, and that's what unlocks the entire platform for our customers.
This capability underpins month-end closing and financial reporting for our customers. The team works closely with other product areas within Consolidation Financial Planning and the Data Platform team to ensure reliability, scalability, and data correctness.
From a quality perspective, this area comes with real complexity: high data volumes, complex business rules, and strong expectations around accuracy. The team is actively evolving how quality is owned, moving from traditional QA towards quality engineering and developer-led testing, with QA acting as a strategic partner across the full software development life cycle.
The core mission for this project is to implement a robust 'developer-led testing' methodology. We are actively shifting quality responsibilities to the development team, empowering our developers to write their own tests. Your role will be to act as a quality consultant, guiding, pair-programming, and verifying the work of the developers rather than solely writing tests in isolation. You will also work closely with a wider QA community of seven automation engineers to ensure our testing strategy is scalable.
What you'll do
- Empower engineers to own quality: Coach engineers to take ownership of quality end-to-end through pair programming, pair testing, and knowledge transfer sessions, building confidence and testing capabilities across the team
- Testing Across Backend and Frontend: Work across backend services and frontend applications with experience in unit, integration, and API E2E testing in Java (JUnit, Mockito) on the backend, and unit, component, and E2E testing in Angular (Jest, Angular Testing Library, Playwright) on the frontend, with a risk-based focus.
- Enhance Test Automation Frameworks: Build and evolve automation across the full test pyramid, balancing fast unit and integration tests with targeted E2E suites for the most complex and critical scenarios.
- Implement Agentic Test Generation: Develop and maintain agents that generate, extend, and self-heal tests. Design AI rules, skills, and instructions that translate requirements and implementations into test cases, catching issues in our agentic SDLC.
- Monitor Post-Release Health: Establish and use monitoring tools (like Sentry or Grafana) to track production health and detect issues early, so that we can resolve them with engineering teams.
- Drive Quality Engineering: Continuously evaluate and challenge our testing approach across architecture, processes, and tooling. Identify what's holding quality back, experiment with new approaches, shape a cross-team strategy, and lead the rollout that reduces quality risk and scales with our products and teams.
- Collaborate Cross-Functionally: Work closely with product managers, designers, developers, engineering managers, team leads, and the wider QA team to align on quality objectives.
What you bring to the table
- 5+ years of experience in QA automation and quality engineering.
- Extensive experience in QA automation, specifically with TypeScript and Playwright (including Playwright MCP or CLI).
- Solid understanding of how to test in a Java and Angular stack, including unit and integration testing with JUnit and Mockito on the backend, API E2E testing where user flows chain multiple services, and unit and component testing with Jest and Angular Testing Library on the frontend.
- Hands-on experience with CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or Jenkins) and with implementing pipeline strategies to run tests efficiently.
- Demonstrated experience using AI coding tools (such as Cursor or Claude) for agentic test generation.
- Experience in designing AI rules and skills that turn requirements into tests, including self-healing tests or AI-driven test maintenance.
- Familiarity with monitoring and observability tools (such as Sentry or Grafana) and experience using production data to drive quality decisions.
- Strong understanding of testing strategies, architecture, and modern quality engineering methodologies, including shift-left and developer-owned testing approaches.
- Experience testing complex, data-heavy enterprise software, ideally in financial, accounting, or consolidation platforms.
- Strong coaching and mentoring skills, with experience pairing with engineers, leading knowledge transfer, and building testing capability across teams.
- Strong communication skills, experienced in working with engineering managers, product managers, designers, developers, and QA leads to align on quality goals.
- A proactive and analytical mindset, with the ability to challenge existing processes and how AI is changing them, propose new ideas, and drive them through to adoption.
- Previous experience driving QA transformations, for example shifting test ownership toward the development team, introducing AI into test workflows and frameworks, or evolving teams from manual to automated testing, is a strong plus.
Perks at work:
- LucaFlex – We acknowledge that every individual has different working styles and preferences. Our flexible working model allows you to plan your working hours and location according to your needs and professional responsibilities.
- Work from Abroad – Sometimes a change of scenery can boost creativity and productivity, you can work up to 90 workdays outside your home country with the support from our partner Workflex.
- Team Spirit – We value teamwork and celebrate our achievements. That’s why we take many opportunities to get together, learn together, and cherish our successes together.
- Learning & Development – We encourage you to shape your own development with the support of dedicated time, resources, and budget provided by us.
- LucaNet Engage – Our feedback process is designed to support your personal and professional development in a targeted manner through regular dialogue.
- LucaNet Do Good– As a company we want to give back and support you in taking the time to do some good, individually or as a team, with paid volunteer time.
- Health & Wellbeing – Your overall wellbeing is important to us, which is why we offer tailored health and wellbeing programs, including company-wide initiatives, subsidies for sports activities, mental health support, and counseling through our external partners.
- Generous leave policy – We encourage you to take time off to relax, travel, and recharge.
- Compensation & Company Pension Plan – We are committed to equal pay and supporting you for your future by offering a company pension plan and/or pension allowances.
Powered by uniqueness
Everybody’s different here and we like it that way. At Lucanet, we embrace the unique qualities of every person. We are dedicated to creating an inclusive workplace where all employees can thrive and feel valued. Regardless of your gender identity, sexual orientation, personal expression, racial identity, ethnicity, religious belief, or disability statuses, you are welcome at Lucanet just as you are. Our recruitment process is solely based on qualifications, merit, and organizational needs, ensuring fairness and equal opportunities for all candidates.
We recognize that every person brings a unique blend of skills and experiences. If you believe you will excel in this role, we want to hear from you – even if you do not check every box on the list. We only want to know why you are great for this role, so please avoid including your picture, age, and marital status in your CV.
Learn more about our DE&I journey
GDPR Notification
Please follow the provided link to understand how we comply with GDPR requirements and what measures we take to ensure your data is safe.
Data protection Lucanet
Ready to apply?
Apply to Lucanet Group
Senior QA Engineer
Lucanet is the CFO Solution Platform built for modern finance & tax teams, offering an integrated suite of solutions to simplify and automate their most critical finance processes. More than 6,000 companies around the world rely on our easy-to-use, out-of-the-box SaaS platform - from consolidation and financial planning to tax compliance and reporting, ESG reporting, banking and cash management, and more. PE-backed and growing our footprint across global markets.
Behind the platform is a global team of 850+ people who care about doing the work well. We challenge each other to push boundaries, move fast without cutting corners, and build solutions that genuinely change how finance & tax leaders operate. If you're looking for a place where your work has real reach - and where your growth is part of the deal - this is it.
Discover more about Lucanet as an employer.The Role
We are seeking a Senior QA Engineer to act as a hybrid quality champion within our engineering department. In this position, you will bridge the gap between manual and automated testing, leading the transition toward a highly automated, AI-assisted QA environment.
You will join the Data Import team, a cross-functional product team that owns one of the most foundational capabilities of the Lucanet platform. It's where the platform starts: the team brings large volumes of customer data into Lucanet, organizes it into reporting entities, and that's what unlocks the entire platform for our customers.
This capability underpins month-end closing and financial reporting for our customers. The team works closely with other product areas within Consolidation Financial Planning and the Data Platform team to ensure reliability, scalability, and data correctness.
From a quality perspective, this area comes with real complexity: high data volumes, complex business rules, and strong expectations around accuracy. The team is actively evolving how quality is owned, moving from traditional QA towards quality engineering and developer-led testing, with QA acting as a strategic partner across the full software development life cycle.
The core mission for this project is to implement a robust 'developer-led testing' methodology. We are actively shifting quality responsibilities to the development team, empowering our developers to write their own tests. Your role will be to act as a quality consultant, guiding, pair-programming, and verifying the work of the developers rather than solely writing tests in isolation. You will also work closely with a wider QA community of seven automation engineers to ensure our testing strategy is scalable.
What you'll do
- Empower engineers to own quality: Coach engineers to take ownership of quality end-to-end through pair programming, pair testing, and knowledge transfer sessions, building confidence and testing capabilities across the team
- Testing Across Backend and Frontend: Work across backend services and frontend applications with experience in unit, integration, and API E2E testing in Java (JUnit, Mockito) on the backend, and unit, component, and E2E testing in Angular (Jest, Angular Testing Library, Playwright) on the frontend, with a risk-based focus.
- Enhance Test Automation Frameworks: Build and evolve automation across the full test pyramid, balancing fast unit and integration tests with targeted E2E suites for the most complex and critical scenarios.
- Implement Agentic Test Generation: Develop and maintain agents that generate, extend, and self-heal tests. Design AI rules, skills, and instructions that translate requirements and implementations into test cases, catching issues in our agentic SDLC.
- Monitor Post-Release Health: Establish and use monitoring tools (like Sentry or Grafana) to track production health and detect issues early, so that we can resolve them with engineering teams.
- Drive Quality Engineering: Continuously evaluate and challenge our testing approach across architecture, processes, and tooling. Identify what's holding quality back, experiment with new approaches, shape a cross-team strategy, and lead the rollout that reduces quality risk and scales with our products and teams.
- Collaborate Cross-Functionally: Work closely with product managers, designers, developers, engineering managers, team leads, and the wider QA team to align on quality objectives.
What you bring to the table
- 5+ years of experience in QA automation and quality engineering.
- Extensive experience in QA automation, specifically with TypeScript and Playwright (including Playwright MCP or CLI).
- Solid understanding of how to test in a Java and Angular stack, including unit and integration testing with JUnit and Mockito on the backend, API E2E testing where user flows chain multiple services, and unit and component testing with Jest and Angular Testing Library on the frontend.
- Hands-on experience with CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or Jenkins) and with implementing pipeline strategies to run tests efficiently.
- Demonstrated experience using AI coding tools (such as Cursor or Claude) for agentic test generation.
- Experience in designing AI rules and skills that turn requirements into tests, including self-healing tests or AI-driven test maintenance.
- Familiarity with monitoring and observability tools (such as Sentry or Grafana) and experience using production data to drive quality decisions.
- Strong understanding of testing strategies, architecture, and modern quality engineering methodologies, including shift-left and developer-owned testing approaches.
- Experience testing complex, data-heavy enterprise software, ideally in financial, accounting, or consolidation platforms.
- Strong coaching and mentoring skills, with experience pairing with engineers, leading knowledge transfer, and building testing capability across teams.
- Strong communication skills, experienced in working with engineering managers, product managers, designers, developers, and QA leads to align on quality goals.
- A proactive and analytical mindset, with the ability to challenge existing processes and how AI is changing them, propose new ideas, and drive them through to adoption.
- Previous experience driving QA transformations, for example shifting test ownership toward the development team, introducing AI into test workflows and frameworks, or evolving teams from manual to automated testing, is a strong plus.
Perks at work:
- LucaFlex – We acknowledge that every individual has different working styles and preferences. Our flexible working model allows you to plan your working hours and location according to your needs and professional responsibilities.
- Work from Abroad – Sometimes a change of scenery can boost creativity and productivity, you can work up to 90 workdays outside your home country with the support from our partner Workflex.
- Team Spirit – We value teamwork and celebrate our achievements. That’s why we take many opportunities to get together, learn together, and cherish our successes together.
- Learning & Development – We encourage you to shape your own development with the support of dedicated time, resources, and budget provided by us.
- LucaNet Engage – Our feedback process is designed to support your personal and professional development in a targeted manner through regular dialogue.
- LucaNet Do Good– As a company we want to give back and support you in taking the time to do some good, individually or as a team, with paid volunteer time.
- Health & Wellbeing – Your overall wellbeing is important to us, which is why we offer tailored health and wellbeing programs, including company-wide initiatives, subsidies for sports activities, mental health support, and counseling through our external partners.
- Generous leave policy – We encourage you to take time off to relax, travel, and recharge.
- Compensation – We are committed to equal pay and supporting you for your future
Powered by uniqueness
Everybody’s different here and we like it that way. At Lucanet, we embrace the unique qualities of every person. We are dedicated to creating an inclusive workplace where all employees can thrive and feel valued. Regardless of your gender identity, sexual orientation, personal expression, racial identity, ethnicity, religious belief, or disability statuses, you are welcome at Lucanet just as you are. Our recruitment process is solely based on qualifications, merit, and organizational needs, ensuring fairness and equal opportunities for all candidates.
We recognize that every person brings a unique blend of skills and experiences. If you believe you will excel in this role, we want to hear from you – even if you do not check every box on the list. We only want to know why you are great for this role, so please avoid including your picture, age, and marital status in your CV.
Learn more about our DE&I journey
GDPR Notification
Please follow the provided link to understand how we comply with GDPR requirements and what measures we take to ensure your data is safe.
Data protection Lucanet
Ready to apply?
Apply to Lucanet Group
Senior QA Engineer
Lucanet is the CFO Solution Platform built for modern finance & tax teams, offering an integrated suite of solutions to simplify and automate their most critical finance processes. More than 6,000 companies around the world rely on our easy-to-use, out-of-the-box SaaS platform - from consolidation and financial planning to tax compliance and reporting, ESG reporting, banking and cash management, and more. PE-backed and growing our footprint across global markets.
Behind the platform is a global team of 850+ people who care about doing the work well. We challenge each other to push boundaries, move fast without cutting corners, and build solutions that genuinely change how finance & tax leaders operate. If you're looking for a place where your work has real reach - and where your growth is part of the deal - this is it.
Discover more about Lucanet as an employer.The Role
We are seeking a Senior QA Engineer to act as a hybrid quality champion within our engineering department. In this position, you will bridge the gap between manual and automated testing, leading the transition toward a highly automated, AI-assisted QA environment.
You will join the Data Import team, a cross-functional product team that owns one of the most foundational capabilities of the Lucanet platform. It's where the platform starts: the team brings large volumes of customer data into Lucanet, organizes it into reporting entities, and that's what unlocks the entire platform for our customers.
This capability underpins month-end closing and financial reporting for our customers. The team works closely with other product areas within Consolidation Financial Planning and the Data Platform team to ensure reliability, scalability, and data correctness.
From a quality perspective, this area comes with real complexity: high data volumes, complex business rules, and strong expectations around accuracy. The team is actively evolving how quality is owned, moving from traditional QA towards quality engineering and developer-led testing, with QA acting as a strategic partner across the full software development life cycle.
The core mission for this project is to implement a robust 'developer-led testing' methodology. We are actively shifting quality responsibilities to the development team, empowering our developers to write their own tests. Your role will be to act as a quality consultant, guiding, pair-programming, and verifying the work of the developers rather than solely writing tests in isolation. You will also work closely with a wider QA community of seven automation engineers to ensure our testing strategy is scalable.
What you'll do
- Empower engineers to own quality: Coach engineers to take ownership of quality end-to-end through pair programming, pair testing, and knowledge transfer sessions, building confidence and testing capabilities across the team
- Testing Across Backend and Frontend: Work across backend services and frontend applications with experience in unit, integration, and API E2E testing in Java (JUnit, Mockito) on the backend, and unit, component, and E2E testing in Angular (Jest, Angular Testing Library, Playwright) on the frontend, with a risk-based focus.
- Enhance Test Automation Frameworks: Build and evolve automation across the full test pyramid, balancing fast unit and integration tests with targeted E2E suites for the most complex and critical scenarios.
- Implement Agentic Test Generation: Develop and maintain agents that generate, extend, and self-heal tests. Design AI rules, skills, and instructions that translate requirements and implementations into test cases, catching issues in our agentic SDLC.
- Monitor Post-Release Health: Establish and use monitoring tools (like Sentry or Grafana) to track production health and detect issues early, so that we can resolve them with engineering teams.
- Drive Quality Engineering: Continuously evaluate and challenge our testing approach across architecture, processes, and tooling. Identify what's holding quality back, experiment with new approaches, shape a cross-team strategy, and lead the rollout that reduces quality risk and scales with our products and teams.
- Collaborate Cross-Functionally: Work closely with product managers, designers, developers, engineering managers, team leads, and the wider QA team to align on quality objectives.
What you bring to the table
- 5+ years of experience in QA automation and quality engineering.
- Extensive experience in QA automation, specifically with TypeScript and Playwright (including Playwright MCP or CLI).
- Solid understanding of how to test in a Java and Angular stack, including unit and integration testing with JUnit and Mockito on the backend, API E2E testing where user flows chain multiple services, and unit and component testing with Jest and Angular Testing Library on the frontend.
- Hands-on experience with CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or Jenkins) and with implementing pipeline strategies to run tests efficiently.
- Demonstrated experience using AI coding tools (such as Cursor or Claude) for agentic test generation.
- Experience in designing AI rules and skills that turn requirements into tests, including self-healing tests or AI-driven test maintenance.
- Familiarity with monitoring and observability tools (such as Sentry or Grafana) and experience using production data to drive quality decisions.
- Strong understanding of testing strategies, architecture, and modern quality engineering methodologies, including shift-left and developer-owned testing approaches.
- Experience testing complex, data-heavy enterprise software, ideally in financial, accounting, or consolidation platforms.
- Strong coaching and mentoring skills, with experience pairing with engineers, leading knowledge transfer, and building testing capability across teams.
- Strong communication skills, experienced in working with engineering managers, product managers, designers, developers, and QA leads to align on quality goals.
- A proactive and analytical mindset, with the ability to challenge existing processes and how AI is changing them, propose new ideas, and drive them through to adoption.
- Previous experience driving QA transformations, for example shifting test ownership toward the development team, introducing AI into test workflows and frameworks, or evolving teams from manual to automated testing, is a strong plus.
Perks at work:
- LucaFlex – We acknowledge that every individual has different working styles and preferences. Our flexible working model allows you to plan your working hours and location according to your needs and professional responsibilities.
- Work from Abroad – Sometimes a change of scenery can boost creativity and productivity, you can work up to 90 workdays outside your home country with the support from our partner Workflex.
- Team Spirit – We value teamwork and celebrate our achievements. That’s why we take many opportunities to get together, learn together, and cherish our successes together.
- Learning & Development – We encourage you to shape your own development with the support of dedicated time, resources, and budget provided by us.
- LucaNet Engage – Our feedback process is designed to support your personal and professional development in a targeted manner through regular dialogue.
- LucaNet Do Good– As a company we want to give back and support you in taking the time to do some good, individually or as a team, with paid volunteer time.
- Health & Wellbeing – Your overall wellbeing is important to us, which is why we offer tailored health and wellbeing programs, including company-wide initiatives, subsidies for sports activities, mental health support, and counseling through our external partners.
- Generous leave policy – We encourage you to take time off to relax, travel, and recharge.
Powered by uniqueness
Everybody’s different here and we like it that way. At Lucanet, we embrace the unique qualities of every person. We are dedicated to creating an inclusive workplace where all employees can thrive and feel valued. Regardless of your gender identity, sexual orientation, personal expression, racial identity, ethnicity, religious belief, or disability statuses, you are welcome at Lucanet just as you are. Our recruitment process is solely based on qualifications, merit, and organizational needs, ensuring fairness and equal opportunities for all candidates.
We recognize that every person brings a unique blend of skills and experiences. If you believe you will excel in this role, we want to hear from you – even if you do not check every box on the list. We only want to know why you are great for this role, so please avoid including your picture, age, and marital status in your CV.
Learn more about our DE&I journey
GDPR Notification
Please follow the provided link to understand how we comply with GDPR requirements and what measures we take to ensure your data is safe.
Data protection Lucanet
Ready to apply?
Apply to Lucanet Group
Data Engineer
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.
This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.
Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.
This is an internal and non-client facing role.
What you’ll do:
Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform. That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:
-
Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.
-
Develop engineering expertise within Snowflake for data engineering and security/governance features
-
Build & maintain python & SQL data replication & data pipelines on large & often complex data sets
-
Build & maintain data quality metrics & observability to help drive data quality standards
-
Learn about existing systems and processes across Data Platforms, Data Engineering and Data Governance
-
Troubleshoot data pipelines, platform automations, data access system.
-
Help field and troubleshoot various community questions and challenges
-
Own, maintain and enhance data operation processes, monitoring & data quality systems
-
Design data models for both short term and long term use cases to support data warehouse scalability
-
Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
-
Identify opportunities for improvements & optimization for greater scalability & delivery velocity
-
Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
-
Perform root cause analysis on often complex errors to help ensure data pipeline availability
-
Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
-
Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
-
Proactively drive innovation internally with bringing ideas for platform and process improvements
-
Help contribute to the ongoing documentation of internal systems and processes
Requirements:
-
2+ years of relevant experience in Data Engineering / Data Platform Engineering
-
Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus.
-
Prior experience with Snowflake a plus
-
Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
-
Experience in building data models
-
Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
-
Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.
-
Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
-
Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
-
Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment
-
Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
-
Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision
Ready to apply?
Apply to Dataiku
Data Engineer II
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.
You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.
Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.
This is an internal and non-client-facing role.
What you’ll do:
Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform. That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:
-
Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting
-
Be an expert level engineer within Snowflake for data engineering and security/governance features
-
Build & maintain python & SQL based platform automation process
-
Build & maintain data quality metrics & observability to help drive data quality standards
-
Design data models for both short term and long term use cases to support data warehouse scalability
-
Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
-
Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery
-
Build & maintain DataOps process for SDLC delivery
-
Identify opportunities for improvements & optimization for greater scalability & delivery velocity
-
Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
-
Perform root cause analysis on often complex errors to help ensure data pipeline availability
-
Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.
-
Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
-
Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
-
Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.
-
Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices.
Requirements :
-
3+ years of relevant experience in Data Engineering / Data Platform Engineering
-
Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus.
-
Prior experience with Snowflake strongly desired
-
Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
-
Strong understanding of data architecture & data modeling concepts
-
Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
-
Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.
-
Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
-
Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
-
Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment
-
Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
-
Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision
Ready to apply?
Apply to Dataiku
Senior Engineering Manager - Business Banking
Welcome to DKB Code Factory….
{ { … a_place_to_stay_yourself:
} } ;
{ { … a_place_to_stay_curious:
The Senior Engineering Manager will build and scale a manager‑of‑managers layer and a reusable engineering platform across five teams in Valencia and Berlin, enabling rapid, secure, and maintainable delivery of a new business banking product. This role combines people leadership (hiring, coaching, performance calibration) with hands‑on ownership of engineering standards, platform architecture, and delivery practices in a regulated banking context.
} } ;
{ your_responsibilities: [
- Lead and grow a manager‑of‑managers layer: hire, coach, and develop founding Engineering Managers and create clear career pathways across the Valencia site.
- Own the engineering operating system: establish and enforce standards for code review, testing, CI/CD, architecture review, observability, and incident handling.
- Drive multi‑team delivery from discovery through MVP and production hardening, resolving cross‑team dependencies and maintaining release discipline.
- Build a modular, reusable business‑banking platform that accelerates future use cases and reduces duplicated implementation effort.
- Ensure service reliability, performance, security, auditability, and operational readiness for customer‑facing mobile and backend systems.
- Partner with Product, Design, Security, Architecture, and Compliance to align priorities and deliver customer value.
- Represent Valencia engineering in site‑building, talent planning, and leadership alignment with the Head of Valencia.
] } ;
{ following_qualifications_would_be_in_line_with_our_desired_profile_for_this_position: [
- Proven experience as a manager of managers, directly leading and developing multiple Engineering Managers across teams.
- Demonstrable track record of multi‑team product engineering leadership (not only project/delivery management).
- Concrete examples of hiring, performance management, and building quality systems (scorecards, calibration, promotion decisions).
- Credible engineering depth: experience making technical trade‑offs, influencing architecture, and explaining technical decisions to engineers and non‑technical stakeholders.
- Hands‑on experience with engineering standards and platforms: CI/CD rollout, automated testing, observability, and incident response processes.
- Experience operating within regulated environments (security, compliance, audit readiness) or equivalent domain experience.
- Excellent communication and stakeholder management skills; ability to create psychological safety and coach managers.
- Fluent in English; Spanish language skills are a plus.
- Experience with cloud platforms (AWS or GCP), Kubernetes, and containerised deployments (nice-to-have).
- Familiarity with CI tooling (GitLab/GitHub Actions, Jenkins), observability stacks (Prometheus/Grafana, tracing), and mobile stacks (Kotlin/Swift or React Native) (nice-to-have).
- You're passionate about your work, but also know how to enjoy your free time!
] } ;
Got the feeling not to match every single requirement? Don’t worry! We encourage you to apply anyways, even if your qualifications do not align perfectly. You might still be just the right candidate for us!
{ { … a_place_to_stay_together:
From Morning Daily to Afterwork Drink, team spirit is essential to us. The heart of our togetherness is that we truly are connected with each other: We not only share fun & laughter, but also honest opinions - because that's how we grow: We exchange ideas, give support in our personal development, and celebrate success together! Besides our great community, we also offer numerous other benefits...
} } ;
Ready to apply?
Apply to DKB Code Factory
• Desarrollar y mantener aplicaciones FullStack en entornos web escalables.
• Diseñar e implementar APIs RESTful y GraphQL para la integración entre frontend y backend.
• Optimizar el rendimiento y la escalabilidad de soluciones integradas con servicios de terceros.
• Desarrollar y evolucionar funcionalidades sobre plataformas de eCommerce.
• Colaborar estrechamente con equipos de frontend, backend y DevOps en entornos ágiles.
• Integrar servicios externos como plataformas de pago, webhooks y APIs de terceros.
• Experiencia mínima de 3 años como Desarrolladora FullStack.
• Sólidos conocimientos en JavaScript y frameworks frontend como React.js o Vue.js.
• Experiencia en desarrollo backend con PHP y/o Node.js.
• Manejo de bases de datos relacionales MySQL y/o PostgreSQL.
• Experiencia en diseño y consumo de APIs RESTful y GraphQL.
• Conocimientos de Docker y entornos cloud en AWS.
• Experiencia previa en proyectos de eCommerce.
• Conocimientos en integración de plataformas de pago como Stripe o PayPal.
• Experiencia en pipelines de CI/CD con Jenkins y/o GitHub Actions.
• Experiencia trabajando en equipos ágiles y proyectos internacionales.
• Modalidad flexible y posibilidad de trabajo remoto.
• Plan de carrera personalizado y formación continua
• Participación en proyectos estables con alto componente técnico.
• Flexibilidad horaria y enfoque en la conciliación.
• Beneficios sociales adaptados a tus necesidades
#LI-IR1
Ready to apply?
Apply to NEORIS
Why Mozilla?
Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people.
The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.
About this team and role:
Firefox developers land code every day to delight users with new features and improve product performance and security. Every day, developers and managers use our team’s applications to develop, build, test, and deliver Mozilla’s core products. We are force-multipliers to enable Firefox developers to do their best work.
What you’ll do:
- Improve Firefox development workflows to reduce time spent testing and debugging test failures as well as more integration/automation of workflows
- Work with a geographically-distributed development team
- Mentor other team members and be mentored by more senior team members
- Collaborate with other teams by providing code review and technical direction
- Look at data, make dashboards, identify trends in Firefox development workflow
What you’ll bring:
- Proven Python skills, including building services
- Front-end development experience, including JavaScript proficiency
- Experience with Python frameworks (e.g., FastAPI, Flask, Django), Cloud Services (e.g., GCP, AWS) and REST
- Solid understanding of databases and SQL
- Experience with CI/CD systems (e.g., GitHub Actions, CircleCI) and test harnesses
- Comfortable working cross-platform, familiar with at least 2 of: Windows, Linux, Mac, Android
- A passion for enhancing developer productivity
- Commitment to our values:
- Welcoming differences
- Being relationship-minded
- Practicing responsible participation
- Having grit
Bonus points for:
- A deep understanding of version control systems
- Experience with containerization and continuous delivery/deployment, particularly with Docker
- Experience with CI of large scale projects
- Comfortable with data analysis
What you’ll get:
- Generous performance-based bonus plans to all eligible employees - we share in our success as one team
- Rich medical, dental, and vision coverage
- Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
- Quarterly all-company wellness days where everyone takes a pause together
- Country specific holidays plus a day off for your birthday
- One-time home office stipend
- Annual professional development budget
- Quarterly well-being stipend
- Considerable paid parental leave
- Employee referral bonus program
- Other benefits (life/AD&D, disability, EAP, etc. - varies by country)
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: D
#LI-REMOTE
Req ID: R3099
Hiring Ranges:
Ready to apply?
Apply to Mozilla
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:
-
Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
-
Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
-
Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
-
Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
-
Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
-
Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
-
Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
-
Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
-
Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
-
Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
Example Projects
-
Building an evaluation and observability framework for AI model performance and reliability.
-
Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
-
Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
-
Designing AI services that process and reason over high-volume real-world data at scale.
Requirements
Qualifications / Experience / Technical Skills
-
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
-
5+ years of experience as a Software Engineer, with strong proficiency in Python.
-
Proven track record of building and maintaining production-grade systems using Python.
-
Strong understanding of distributed systems, API design, and data-driven architectures.
-
Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
-
Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
-
Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
- Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD
Preferred Skills
-
Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
-
Background in developer platforms or AI infrastructure services.
-
Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
-
Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
-
Experience developing enterprise-scale SaaS or distributed backend systems.
-
Contributions to open-source projects in Python, AI, or infrastructure engineering.
Soft Skills / Personal Characteristics
-
Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.
-
Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
-
Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
-
Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.
(REQ ID: 2459)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:
-
Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.
-
Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx
-
On-board Workato components & applications to Internal Platform.
-
Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.
-
Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.
-
Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.
-
Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.
-
Participate in system design consulting, platform management, and architecture reviews.
-
Document development processes and best practices.
-
Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
-
Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.
If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!
Requirements
Qualifications / Experience / Technical Skills
-
Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go
-
Experience with creating internal platform tooling, e.g. CLI tools, etc
-
Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.
-
Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.
-
Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.
-
Strong understanding of networking fundamentals and web services architecture.
-
Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).
-
Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry).
-
Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.
-
BS or MS in the CS field (or equivalent experience).
-
5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer / DevOps / SRE / CICD).
(REQ ID: 2718)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:
-
Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.
-
Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx
-
On-board Workato components & applications to Internal Platform.
-
Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.
-
Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.
-
Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.
-
Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.
-
Participate in system design consulting, platform management, and architecture reviews.
-
Document development processes and best practices.
-
Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
-
Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.
If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!
Requirements
Qualifications / Experience / Technical Skills
-
Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go
-
Experience with creating internal platform tooling, e.g. CLI tools, etc
-
Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.
-
Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.
-
Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.
-
Strong understanding of networking fundamentals and web services architecture.
-
Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).
-
Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry).
-
Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.
-
BS or MS in the CS field (or equivalent experience).
-
5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer / DevOps / SRE / CICD).
(REQ ID: 2718)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:
-
Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.
-
Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx
-
On-board Workato components & applications to Internal Platform.
-
Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.
-
Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.
-
Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.
-
Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.
-
Participate in system design consulting, platform management, and architecture reviews.
-
Document development processes and best practices.
-
Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
-
Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.
If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!
Requirements
Qualifications / Experience / Technical Skills
-
Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go
-
Experience with creating internal platform tooling, e.g. CLI tools, etc
-
Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.
-
Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.
-
Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.
-
Strong understanding of networking fundamentals and web services architecture.
-
Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).
-
Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry).
-
Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.
-
BS or MS in the CS field (or equivalent experience).
-
5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer / DevOps / SRE / CICD).
(REQ ID: 2718)
Ready to apply?
Apply to Workato
Senior Infrastructure Engineer (Platform engineering)
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:
-
Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.
-
Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx
-
On-board Workato components & applications to Internal Platform.
-
Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.
-
Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.
-
Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.
-
Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.
-
Participate in system design consulting, platform management, and architecture reviews.
-
Document development processes and best practices.
-
Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
-
Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.
If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!
Requirements
Qualifications / Experience / Technical Skills
-
Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go
-
Experience with creating internal platform tooling, e.g. CLI tools, etc
-
Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.
-
Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.
-
Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.
-
Strong understanding of networking fundamentals and web services architecture.
-
Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).
-
Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry).
-
Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.
-
BS or MS in the CS field (or equivalent experience).
-
5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer / DevOps / SRE / CICD).
(REQ ID: 2718)
Ready to apply?
Apply to Workato
Senior Infrastructure Engineer (Platform engineering)
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:
-
Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.
-
Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx
-
On-board Workato components & applications to Internal Platform.
-
Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.
-
Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.
-
Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.
-
Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.
-
Participate in system design consulting, platform management, and architecture reviews.
-
Document development processes and best practices.
-
Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
-
Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.
If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!
Requirements
Qualifications / Experience / Technical Skills
-
Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go
-
Experience with creating internal platform tooling, e.g. CLI tools, etc
-
Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.
-
Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.
-
Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.
-
Strong understanding of networking fundamentals and web services architecture.
-
Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).
-
Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry).
-
Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.
-
BS or MS in the CS field (or equivalent experience).
-
5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer / DevOps / SRE / CICD).
(REQ ID: 2718)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:
-
Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
-
Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
-
Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
-
Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
-
Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
-
Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
-
Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
-
Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
-
Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
-
Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
Example Projects
-
Building an evaluation and observability framework for AI model performance and reliability.
-
Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
-
Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
-
Designing AI services that process and reason over high-volume real-world data at scale.
Requirements
Qualifications / Experience / Technical Skills
-
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
-
5+ years of experience as a Software Engineer, with strong proficiency in Python.
-
Proven track record of building and maintaining production-grade systems using Python.
-
Strong understanding of distributed systems, API design, and data-driven architectures.
-
Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
-
Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
-
Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
- Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD
Preferred Skills
-
Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
-
Background in developer platforms or AI infrastructure services.
-
Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
-
Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
-
Experience developing enterprise-scale SaaS or distributed backend systems.
-
Contributions to open-source projects in Python, AI, or infrastructure engineering.
Soft Skills / Personal Characteristics
-
Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.
-
Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
-
Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
-
Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.
(REQ ID: 2459)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:
-
Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
-
Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
-
Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
-
Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
-
Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
-
Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
-
Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
-
Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
-
Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
-
Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
Example Projects
-
Building an evaluation and observability framework for AI model performance and reliability.
-
Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
-
Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
-
Designing AI services that process and reason over high-volume real-world data at scale.
Requirements
Qualifications / Experience / Technical Skills
-
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
-
5+ years of experience as a Software Engineer, with strong proficiency in Python.
-
Proven track record of building and maintaining production-grade systems using Python.
-
Strong understanding of distributed systems, API design, and data-driven architectures.
-
Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
-
Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
-
Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
- Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD
Preferred Skills
-
Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
-
Background in developer platforms or AI infrastructure services.
-
Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
-
Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
-
Experience developing enterprise-scale SaaS or distributed backend systems.
-
Contributions to open-source projects in Python, AI, or infrastructure engineering.
Soft Skills / Personal Characteristics
-
Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.
-
Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
-
Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
-
Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.
(REQ ID: 2459)
Ready to apply?
Apply to Workato
Software Engineer II - Web Engineering
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role
elastic.co is how Elastic talks to the world — it's where potential customers first encounter our products and where existing ones come to learn more. As a Software Engineer II on the Web Engineering team you'll own meaningful parts of that experience: building the features, systems, and infrastructure that keep the site fast, reliable, and effective at scale. The ideal candidate should have experience with front-end technologies plus an interest in CI/CD.
You'll work closely with stakeholders across the company to ship features that improve the site's quality and performance in a distributed, async-first environment.
What You Will Be Doing
- Develop and maintain the front-end stack from component design to deployment pipeline, and ship production code end-to-end.
- Instrument client-side performance (Core Web Vitals, error tracking, real-user monitoring) alongside backend logging, metrics, tracing, alerting, and dashboards.
- Partner with product managers, designers, and other developers to build, test, and release features for elastic.co.
- Write clean, maintainable, and well-documented code.
- Participate in code reviews for your team.
- Diagnose and resolve production issues spanning client regressions to backend failures, and participate in an on-call rotation for an always-on service.
What You Bring
- 3+ years working in a frontend-focused role with proven TypeScript and React depth across component architecture, performance, and state management.
- Working proficiency in at least one of Node.js, Python, or Go.
- Experience owning CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) end-to-end, including front-end build tooling, bundle optimization, and deployment automation without a dedicated ops team.
- A track record of building for high availability, security, and scalability at real production scale.
- Ability to work autonomously in a globally distributed team.
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
Ready to apply?
Apply to Referral Board
Staff Engineer, Live Technology
Scopely is looking for a Staff / Senior Software Engineer, Live Technology to join our Monopoly GO! game team working on a hybrid basis out of our Barcelona studio hub, or remotely from within the EU.
At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily
What You Will Do
- Design, implement, and evolve infrastructure systems that support scalable, high-velocity live operations, including CI/CD pipelines, build automation, deployment frameworks, and observability tooling.
- Own and maintain live technology platforms used across engineering teams, ensuring they are efficient, secure, and aligned with the evolving needs of a large-scale live mobile title.
- Develop internal enablement tools that streamline developer workflows, optimize build processes, and reduce friction across disciplines.
- Collaborate cross-functionally with backend, client, QA, production, and operations teams to define and refine workflows that improve build reliability, deployment speed, and live stability.
- Drive technical excellence by identifying and delivering infrastructure improvements that enhance performance, reduce cost, and strengthen system resilience.
- Architect solutions for Unity-based development pipelines, optimizing for build performance, cross-platform support, and rapid iteration.
- Enhance live system observability and monitoring, integrating best in class tooling to provide actionable insights into performance and reliability.
- Champion automation and long-term system health, ensuring that infrastructure and live systems evolve with product and organizational growth.
What We’re Looking For
- Proven experience as a senior individual contributor focused on infrastructure, build engineering, or developer tooling within a high-scale live environment.
- Deep understanding of CI/CD pipelines and build automation, with hands-on experience in GitHub Actions, TeamCity, Bamboo, or similar tools.
- Strong programming proficiency in C# and a solid grasp of Unity build systems and challenges specific to live mobile development.
- Expertise in cloud infrastructure (AWS, GCP, or equivalent), including deployment automation, scalability, and cost optimization.
- Experience designing and maintaining systems that support continuous delivery and live release processes for mobile games.
- Familiarity with observability and monitoring platforms such as DataDog, Kibana or Bugsnag.
- Demonstrated ability to drive technical initiatives across teams, influencing architecture and process without formal management scope.
- A focus on reliability, performance, and developer enablement, with a passion for delivering exceptional player experiences through technology.
For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience.
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Ready to apply?
Apply to Scopely
Appodeal is a dynamic US-based product company with a truly global presence.
We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world.
Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.
Why Appodeal?
At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses!
We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.
Here’s what we value, and what we hope you do too:
- Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
- Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
- Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
- Enjoying the Journey: We believe in having fun while working toward our goals.
We are looking for a Senior MLOps Engineer to add to our Data team in Barcelona.
Join the User Acquisition MLOps team that builds the core ML backbone of Appodeal. We design and run the systems that power real-time predictions at massive scale, where every millisecond matters. Our work directly drives thousands of bidding operations each second, supporting a high‑throughput, low‑latency inference platform used across the company.
You will help shape and evolve a modern ML platform built around Databricks, MLflow, Unity Catalog, GitHub Actions, and deep integrations with our Predictor service. This means solving real engineering challenges: scaling training pipelines, optimizing GPU workloads, ensuring safe and automated model promotions, and keeping online inference reliable under extreme load.
You will collaborate daily with Data Science, Data Engineering, Runtime, DevOps, and Product, and you will fully own the systems and projects you touch. This is a role for engineers who like autonomy, impact, and building things that matter.
Responsibilities:
- Design, operate, and improve the ML platform, including Databricks workflows for training, MLflow and Unity Catalog for model management, CI/CD pipelines using GitHub Actions and Databricks Asset Bundles, and integration with the runtime inference layer.
- Support data scientists in developing and maintaining end-to-end training pipelines, covering data processing, feature transformations, ML model training on GPUs, and distributed training setups to ensure efficient and scalable workflows.
- Ensure reliable and safe model inference by validating models before promotion, checking metadata compatibility, monitoring latency, and supporting model evaluation flows.
- Maintain strong ML observability, including online and offline monitoring, data and feature parity checks, and automated validation of model performance in production.
- Develop internal tools and APIs that enable DS teams and account managers to experiment, validate, and promote models efficiently while reducing operational friction.
Requirements:
- 3+ years of experience in MLOps, ML Platform Engineering, or Backend roles supporting production ML systems.
- Strong Python and software engineering skills, with experience building and maintaining APIs (FastAPI, Flask, or similar).
- Hands-on experience with DNNs using PyTorch or other modern deep learning frameworks, including GPU training and optimizing hardware utilization.
- Solid understanding of distributed computing and data processing using Apache Spark or similar frameworks.
- Experience with Databricks (Jobs, MLflow, Delta, UC) or an equivalent cloud-based ML platform.
- Strong understanding of the ML lifecycle: data ingestion, experimentation, model packaging, deployment, and monitoring.
- Familiarity with real-time model inference systems and ensuring compatibility with downstream services.
- Experience with data validation libraries (Pydantic or similar) used within ML and API workflows.
- Good understanding of Docker containers, Kubernetes, and basic networking concepts.
- Experience creating and maintaining CI/CD pipelines (GitHub Actions or similar).
- Experience with orchestration tools (Databricks Jobs, Dagster, Airflow or similar).
- Demonstrated ability to use modern AI tools (Claude, ChatGPT, Gemini) to improve development speed and quality.
- Proactive mindset with a strong sense of ownership, consistently pushing work forward and anticipating next steps without needing close direction.
- Strong English communication skills.
Nice to have:
- Exposure to very high-load, low-latency ML inference environments.
- Knowledge of distributed or large-scale ML training frameworks and multi-GPU setups.
- Familiarity with Databricks Asset Bundles.
- Understanding of ONNX or other portable model serialization formats.
- Ability to work with Rust programming language.
- Familiarity with transformer architectures, encoder-decoder models, or sequence modeling approaches.
- Exposure to data engineering concepts, such as building scalable data pipelines, understanding CDC patterns, or working with structured and unstructured datasets.
- Experience with MinIO or other S3-compatible storage systems.
- Understanding of networking protocols such as TCP, HTTP, and gRPC, including their limitations in low-latency scenarios.
- Confidence navigating the Atlassian ecosystem (Jira, Confluence, Compass).
This position supposes relocation to Barcelona and work from our office in the city center.
Why Join Us:
- Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
- A collaborative and inclusive work culture that values innovation and continuous learning.
- Competitive salary, flexible work arrangements, and a comprehensive benefits package.
- Professional development opportunities and career growth prospects within a fast-growing company.
With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.
Join us and help shape the future of mobile app success!
Ready to apply?
Apply to Appodeal
QA Automation Engineer (MEGAScore)
BrainRocket is a global company creating end-to-end tech products for clients across Fintech, iGaming, and Marketing. Young, ambitious, and unstoppable, we've already taken Cyprus, Malta, Portugal, Poland, and Serbia by storm. Our BRO team consists of 1,300 bright minds creating innovative ideas and products. We don’t follow formats. We shape them. We build what works, launch it fast, and make sure it hits.
We are seeking a Middle/Senior QA Automation Engineer to contribute to the development and quality assurance of a newly launched, multi-brand Sportsbook platform. This role offers the opportunity to work within a high-concurrency environment, addressing the unique challenges associated with real-time data processing and rapid system scaling. The successful candidate will work alongside a highly experienced team of senior engineers and architects, taking direct ownership of the quality and reliability of key services.
✅ Responsibilities:
✔ Build scalable test automation projects from scratch and extend existing frameworks using the .NET stack.
✔ Develop and execute comprehensive test suites covering UI, API and Integration layers.
✔ Validate complex data structures and backend logic via the relational and non-relational databases.
✔ Conduct manual testing when necessary.
✔ Proactively utilize and build AI-driven tools (MCP-Servers, Agents) to optimize the testing lifecycle.
✅ Requirements:
✔ 3+ years of hands-on experience in QA Automation.
✔ Upper-intermediate level of English (B2) for effective team communication.
✔ Experience in building and maintaining test Automation Projects in C#/.NET.
✔ Proficiency in modern UI automation frameworks (e.g., Playwright, Selenium).
✔ Advanced API test automation skills.
✔ Understanding of HTTP protocols, GraphQL, and WebSockets.
✔ Experience with non-relational Databases. Writing complex aggregation pipelines.
✔ Hands-on experience with Docker and containerized environments.
✅ Nice to Have:
✔ Experience with CI/CD pipeline configuration (Azure DevOps, GitHub Actions, or Jenkins).
✔ Knowledge of performance and load testing principles.
✅ Soft Skills & Mindset:
✔ Strong analytical skills and critical thinking.
✔ High level of self-organization
✔ Ability to operate with minimal supervision in a fast-paced environment.
✔ Capacity to translate high-level requirements into structured, executable automation strategies.
✈️ Relocation package (tickets, staying in a hotel for 2 weeks).
🏖️ 23 vacation days + 6 days of sick leave (without a Doctor's note).
🏥 Medical insurance.
🎁 Birthdays, milestones and employee anniversaries celebrations.
🏋️ Social Club with gym and more than 50 events per year - coming soon.
🍲 Breakfast and lunches in the office (partially covered).
📚 Language classes & tennis lessons (partially covered).
Bold moves start here. Make yours. Apply today!
By submitting your application, you agree to our Privacy Policy.
Ready to apply?
Apply to BrainRocket
Join Vonage and help us innovate cloud communications for businesses worldwide!
What You Will Do
- Define and lead the performance engineering strategy across high-availability, cloud-native telecom platforms.
- Lead, train, and coordinate a distributed guild of SDETs across multiple feature teams, guiding them to build, maintain, and execute performance scripts (k6) within their fractional sprint capacity.
- Design, develop, and evolve scalable backend performance frameworks using k6, Python, Java, or TypeScript, focusing entirely on APIs, databases, and infrastructure.
- Implement and manage production traffic replay strategies (e.g., GoReplay) and complex multi-tenant test data generation to accurately recreate realistic production contention and load profiles.
- Own and drive performance, load, stress, endurance, scalability, and resilience testing, including chaos engineering practices (e.g., using AWS Fault Injection Simulator).
- Validate real-time communication systems, event-driven architectures (Kafka, RabbitMQ), and high-throughput distributed systems under production-like conditions.
- Integrate performance testing into CI/CD pipelines, enabling continuous performance validation, shift-left practices, and automated PR blocking for latency degradation.
- Leverage observability tooling (Grafana, CloudWatch, Coralogix, VictoriaMetrics, PMM) to monitor, analyse, and troubleshoot system performance.
- Establish performance benchmarks, SLAs, SLOs, and error budgets aligned with business and system requirements.
- Collaborate with architecture and data teams to identify bottlenecks, validate database architectures (e.g., MySQL, Tungsten), and present evidence-based investment proposals.
- Analyse and optimise performance across both legacy monolith systems (requiring integrated load testing) and modern microservices architectures.
What You Will Bring
- Proven experience mentoring and coordinating testing efforts across large, distributed engineering teams (e.g., conducting code reviews, guiding SDETs through framework adoption, and managing cross-team test schedules).
- Strong hands-on experience with AWS cloud services (EC2, ECS, RDS, API Gateway) with a focus on scalability and performance optimisation.
- Proven expertise in performance testing tools (specifically k6, along with JMeter or Gatling), including test design, execution, and analysis at scale.
- Hands-on experience with production traffic shadowing or replay tools (such as GoReplay).
- Deep experience testing distributed systems, message brokers (Kafka, RabbitMQ), microservices architectures, and high-volume, low-latency APIs.
- Solid backend programming and scripting skills in Python, Java, or TypeScript to build custom performance frameworks and tooling.
- Strong understanding of system design, concurrency, throughput, latency, and fault tolerance principles.
- Experience implementing performance testing within CI/CD pipelines (Jenkins, GitHub Actions) and enabling continuous performance feedback loops.
- Hands-on experience with observability and monitoring tools (Grafana, Coralogix, PMM) for performance analysis and diagnostics.
- Experience working within Agile environments and translating performance insights into actionable engineering outcomes.
Required
- Demonstrable hands-on experience in backend performance engineering and automation using Python, Java, or TypeScript.
- Proven track record of performance, scalability, and resilience testing in AWS-based cloud-native systems.
- Strong experience designing large-scale performance test strategies and leading QA/SDET teams to execute them.
- Deep understanding of API performance testing, integration testing, and system-level non-functional validation.
- Solid grasp of system architecture, distributed systems behaviour, and non-functional testing methodologies.
- Experience with observability, monitoring, and log analysis tools.
- Familiarity with RESTful APIs and event-driven systems.
Application Requirements
- Updated CV clearly demonstrating performance engineering leadership, cross-team coordination, AWS expertise, and backend automation frameworks.
- Summary of performance testing frameworks, tools (e.g., k6, GoReplay), and CI/CD methodologies implemented.
- Detailed examples of performance testing engagements (scale, environments, bottlenecks identified, business impact, improvements delivered).
- Evidence of driving performance strategy, mentoring QA/SDET teams, and influencing architecture.
#LI-KS1
There’s no perfect candidate. You don't need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds, so if you're passionate about what you could achieve at Vonage, we'd love to hear from you.
To learn how we process your personal data during the recruitment process, please refer to our Privacy Notice.
Who we are:
Vonage is a global cloud communications leader. And your talent will further help brands - such as Airbnb, Viber, WhatsApp, and Snapchat - accelerate their digital transformation through our fully programmable-based unified communications, contact center solutions, and communications APIs. Ready to innovate? Then join us today.
Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.
Ready to apply?
Apply to Vonage
About WPP
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.
Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!
What will your day look like?
As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:
- Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
- Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
- Build monitoring procedures & tools to ensure solid ETL flows and data quality.
- Design processes and tools to correct ETL incidents.
- Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
- Consult our data analytics teams to ensure best practices on the technical use of data are followed.
- Design data architectures and collaborate in data migrations in cloud environments.
Who are you going to work with?
You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.
What do you bring to the table?
As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.
At the same time, you solve problems in an analytical and pragmatic manner.
Moreover, you have:
- Experience in data engineering, big data, business intelligence, or data science.
- Experience in Spark, Python, Scala, or similar.
- Excellent SQL skills enabling large-scale data transformation and analysis.
- A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
- Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
- Programming experience in Javascript, Python, or similar.
- Expertise in managing databases, including performance tuning, backup, and recovery.
- Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
- Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
- Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
- Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
- Knowledge of Kubernetes would be an advantage
Personal skills:
- Strong desire to contribute towards keeping data tidy and well-organized
- Ability to think critically, identify issues autonomously, and propose corrective actions.
- Build great relationships with your team and stakeholders
A leader in personalized customer experiences
VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.
A global network
We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.
#LI-EMEA
WPP (VML MAP) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
For more information, please visit our website, and follow VML MAP on our social channels via Instagram, LinkedIn and X.
When you click “Apply now” below, your information is sent to VML MAP. To learn more about how we process your personal data during when you apply for a role with us, on how you can update your information or have the information removed please read our Privacy policy. California residents should read our California Recruitment Privacy Notice.
Ready to apply?
Apply to VML MAPAbout WPP
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.
Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!
What will your day look like?
As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:
- Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
- Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
- Build monitoring procedures & tools to ensure solid ETL flows and data quality.
- Design processes and tools to correct ETL incidents.
- Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
- Consult our data analytics teams to ensure best practices on the technical use of data are followed.
- Design data architectures and collaborate in data migrations in cloud environments.
Who are you going to work with?
You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.
What do you bring to the table?
As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.
At the same time, you solve problems in an analytical and pragmatic manner.
Moreover, you have:
- Experience in data engineering, big data, business intelligence, or data science.
- Experience in Spark, Python, Scala, or similar.
- Excellent SQL skills enabling large-scale data transformation and analysis.
- A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
- Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
- Programming experience in Javascript, Python, or similar.
- Expertise in managing databases, including performance tuning, backup, and recovery.
- Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
- Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
- Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
- Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
- Knowledge of Kubernetes would be an advantage
Personal skills:
- Strong desire to contribute towards keeping data tidy and well-organized
- Ability to think critically, identify issues autonomously, and propose corrective actions.
- Build great relationships with your team and stakeholders
A leader in personalized customer experiences
VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.
A global network
We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.
#LI-EMEA
WPP (VML MAP) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
For more information, please visit our website, and follow VML MAP on our social channels via Instagram, LinkedIn and X.
When you click “Apply now” below, your information is sent to VML MAP. To learn more about how we process your personal data during when you apply for a role with us, on how you can update your information or have the information removed please read our Privacy policy. California residents should read our California Recruitment Privacy Notice.
Ready to apply?
Apply to VML MAPAbout WPP
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.
Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!
What will your day look like?
As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:
- Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
- Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
- Build monitoring procedures & tools to ensure solid ETL flows and data quality.
- Design processes and tools to correct ETL incidents.
- Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
- Consult our data analytics teams to ensure best practices on the technical use of data are followed.
- Design data architectures and collaborate in data migrations in cloud environments.
Who are you going to work with?
You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.
What do you bring to the table?
As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.
At the same time, you solve problems in an analytical and pragmatic manner.
Moreover, you have:
- Experience in data engineering, big data, business intelligence, or data science.
- Experience in Spark, Python, Scala, or similar.
- Excellent SQL skills enabling large-scale data transformation and analysis.
- A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
- Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
- Programming experience in Javascript, Python, or similar.
- Expertise in managing databases, including performance tuning, backup, and recovery.
- Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
- Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
- Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
- Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
- Knowledge of Kubernetes would be an advantage
Personal skills:
- Strong desire to contribute towards keeping data tidy and well-organized
- Ability to think critically, identify issues autonomously, and propose corrective actions.
- Build great relationships with your team and stakeholders
A leader in personalized customer experiences
VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.
A global network
We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.
#LI-EMEA
WPP (VML MAP) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
For more information, please visit our website, and follow VML MAP on our social channels via Instagram, LinkedIn and X.
When you click “Apply now” below, your information is sent to VML MAP. To learn more about how we process your personal data during when you apply for a role with us, on how you can update your information or have the information removed please read our Privacy policy. California residents should read our California Recruitment Privacy Notice.
Ready to apply?
Apply to VML MAP
Performance QA Engineer (JCP Core)
At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the most effective developer tools on earth. Our tools speed up production by automating routine checks and corrections, freeing developers to grow, discover, and create.
The JetBrains Cloud Platform team develops a cloud-based service that helps organizations manage JetBrains products and services with a focus on encouraging the adoption of AI-powered development tools. JCP provides centralized management, usage-based billing, and visibility into AI consumption patterns.
We are currently seeking a skilled Performance QA Engineer to join our team and improve the reliability of our system. In this role, you will be responsible for ensuring the scalability and stability of our distributed systems through rigorous performance testing and analysis.
As part of our team, you will:
- Design, develop, and maintain automated performance test suites for complex distributed systems.
- Identify system bottlenecks, conduct root-cause analysis, and partner with engineering teams to implement remediation strategies.
- Generate high-quality performance reports with actionable recommendations and communicate findings to both technical and non-technical stakeholders.
- Work closely with cross-functional development teams to identify performance-critical components and define SLAs, performance criteria, and workload models.
- Design and enhance frameworks for performance test execution, test results collection, analysis, visualization, and reporting.
- Integrate performance testing into CI/CD pipelines.
We’ll be happy to have you on our team if you have:
- 5+ years of experience in performance testing or engineering.
- Strong hands-on experience with at least one major performance testing tool – K6, JMeter, Gatling, Locust, or LoadRunner (code-based tools are preferred, but git knowledge is a must).
- Solid programming or scripting skills in languages such as Java, Python, JavaScript/TypeScript, or Go.
- A strong understanding of distributed systems, API performance, databases, caching, and networking fundamentals.
- The proven ability to analyze performance metrics, identify bottlenecks, and recommend improvements.
- Experience testing high-traffic or mission-critical applications.
- Strong analytical skills and the ability to communicate technical findings clearly.
- Proficiency in English, both written and spoken.
We’ll be especially thrilled if you have:
- Experience with observability platforms (Prometheus/Grafana and Elastic).
- Experience with containerized and cloud-native environments (Docker, Kubernetes, and AWS/GCP/Azure).
- Familiarity with event-driven systems, streaming platforms (Kafka), and microservice architectures.
- Knowledge of CI/CD automation (TeamCity, GitHub Actions, etc.).
Why join JetBrains?
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family
- Learning and development opportunities. Access to conferences, courses, and language classes.
- Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Somos el acelerador que impulsa el crecimiento en Iberoamérica, combinando la excelencia global en ingeniería de EPAM con la experiencia regional y la cercanía cultural de NEORIS. Ayudamos a las organizaciones a escalar, modernizarse y avanzar en su transformación digital mediante soluciones en Cloud, Data & Analytics, Inteligencia Artificial, Ciberseguridad, Automatización Inteligente, Consultoría Estratégica y Software Engineering.
Respaldados por más de 60,000 profesionales en más de 55 países y un sólido modelo Nearshore, conectamos capacidades globales con confianza local para generar impacto real, crecimiento sostenible y resultados de alto valor para nuestros clientes.
Estamos en búsqueda de: DevOps Engineer – AI Factory.
Modalidad. Híbrida, con residencia actual en España. Cada 15 días, reuniones en Madrid!
Experiencia requerida. Al menos 4/5 años como DevOps.
Principales responsabilidades:
• Diseñar, implementar y mantener soluciones de infraestructura en la nube, principalmente en AWS y, de forma complementaria, en GCP.
• Desarrollar y mantener pipelines de CI/CD para aplicaciones y servicios, garantizando despliegues seguros y eficientes.
• Colaborar con equipos de desarrollo para asegurar entregas de software de alta calidad.
• Garantizar que las soluciones diseñadas sean escalables, seguras y tolerantes a fallos.
• Implementar prácticas de seguridad y automatización dentro del enfoque DevSecOps.
• Realizar análisis de vulnerabilidades y aplicar los planes de remediación necesarios.
Requerimientos:
Excluyentes:
• Experiencia sólida trabajando con AWS (diseño, implementación, monitoreo, logging y gestión de alarmado).
• Experiencia en entornos productivos con baja tasa de indisponibilidad.
• Experiencia en la construcción y mantenimiento de pipelines CI/CD.
• Manejo avanzado de Github Actions y Artifactory.
• Administración de repositorios en Github y/o Bitbucket.
• Conocimiento de Docker y administración de Kubernetes.
• Conocimientos de scripting en Python, Bash u otros lenguajes equivalentes.
• Habilidades demostradas de resolución de problemas y diagnóstico.
• Conocimientos medios en DevSecOps y automatización de seguridad.
• Disponibilidad para asistir a las oficinas en Madrid 1 vez cada 15 días.
Deseables:
• Experiencia en automatización de pruebas de seguridad.
• Familiaridad con herramientas adicionales de gestión de configuración.
• Participación o contribución en proyectos de código abierto.
• Experiencia con Terraform y CloudFormation.
• Conocimiento adicional en GCP.
Ofrecemos
• Contrato indefinido con salario competitivo
• Modalidad flexible y posibilidad de trabajo remoto.
• Plan de carrera personalizado y formación continua (certificaciones, inglés, etc.).
• Participación en proyectos estables con alto componente técnico.
• Flexibilidad horaria y enfoque en la conciliación.
• Beneficios sociales adaptados a tus necesidades
Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.
Monica Ortego
#LI-MO1
Ready to apply?
Apply to NEORIS
Staff Full Stack Engineer
STAFF FULL STACK ENGINEER (Contract)
Location: Argentina, Brazil, Colombia, Chile, Mexico, Dominican Republic, Spain, Peru
Job Description
Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We believe that when businesses lead with clarity and confidence, they become more resilient, more innovative, and better prepared for what's ahead. That's why we built the first Agentic Insurance™ system — where advanced AI and deep insurance expertise come together to proactively assess, mitigate, and manage risk. Backed by A rated carriers and trusted by brokers nationwide, our platform helps small businesses grow with confidence. Join us in shaping a smarter future, helping businesses Do More With Less Risk®.
As a Staff Full Stack Software Engineer, you will be a prolific cross-functional contributor who leverages AI throughout your development workflow to demonstrate business and product awareness. You must bridge the gap between Product, Insurance, Data and AI to build a platform that feels like a single seamless experience. You're a go getter, love learning, use AI to think bigger and ship faster, and are a wonderful person to work with. You exemplify thoughtful action of what it means to be a great engineer and a presence the organization can rely on.
OUR AI-ENABLED CULTURE
At Counterpart, AI isn't a nice-to-have—it's how we work. We expect our engineers to leverage AI tools throughout their entire workflow: from problem analysis and architecture design, to code generation, testing, and documentation. If you're still writing most code by hand or treating AI as just an autocomplete tool, this role isn't the right fit. We're looking for engineers who use AI to think bigger, ship faster, and maintain higher quality standards.
What this means in practice:
- You use AI to explore solution spaces before writing a single line of code
- You leverage AI to generate a significant amount of your code while you focus on architecture, review, and problem-solving
- You've experienced significant productivity gains through AI-assisted development without compromising quality
- You treat AI coding assistants as essential tools, like your IDE or version control
YOU WILL
Below are some key projects we are working on. You will be a part of one or more of these objectives:
- Modernize insurance application workflows. We are enhancing our Django system to update and automate workflows for our Risk Engineering team. You will use AI-assisted development to rapidly iterate on key UI components and backend enhancements, delivering the best user experience possible at unprecedented velocity.
- Enhance productivity with AI. Collaborate with the Data and Risk Engineering teams to integrate AI into every part of our workflow. Create an AI platform to enhance adoption of agents. Wrangle data from docs, email, the web, and more into insightful, data driven actions. This isn't just about building AI features—you'll be using AI tools daily to accelerate your own delivery and collaborate more effectively.
- Enable small businesses to manage HR with modern software. Enhance our HR application to support its next phase of growth using AI-powered development to move faster than traditional development cycles.
- Emerging Products. Create new services to enable our Claims team to process a larger volume of complex claims across many different insurance lines. Use AI to rapidly prototype and iterate on solutions.
- Dev experience first. Work with engineering leaders to create an amazing remote dev experience. Establish AI-enabled development standards: how we use AI for code review, architecture decisions, test generation, and documentation. Define how we balance AI assistance with engineering judgment. This will have a huge impact on scaling with sustainable growth and workplace happiness.
YOU HAVE
AI-First Development Skills:
- Demonstrated proficiency using AI coding assistants (Claude, Cursor, GitHub Copilot, Windsurf, etc.) as core development tools, not just productivity aids
- Experience using AI for system design and architecture decisions, including prompt engineering for complex technical problems
- You utilize AI as a force multiplier to achieve development velocity and output levels that far exceed traditional manual coding standards
- Comfort with AI-first workflows: You regularly use AI for ideation, code review, debugging, test generation, and documentation
Technical Experience:
- Experience building and maintaining a service platform for human and programmatic users using AI-assisted development to accelerate delivery
- Lead, written, and executed product and technical design specifications
- 5+ years of experience with Python
- 2+ years of experience with Django
- 2+ years of experience with relational databases (we use PostgreSQL)
- 2+ years of experience with Typescript
- Experience working on a remote team
Who You Will Work With
- Derrick Franco, Principal Engineer: After teaching himself to code at 13, Derrick went on to co-found Jumpstart in addition to building out the technical divisions at InvestorsAlley and Phinaz Media Group. Nowadays Derrick spends his time reading, with his wife, and working on his podcast The Future of Work Project.
- Julian Prokay, Principal Engineer: A veteran of the SaaS space with experience working on both student systems and construction management software. In his free time, he enjoys history podcasts and fantasy literature.
- Ron Alexessen, Engineering Manager: With experience at Hewlett-Packard, New Relic, Rackspace, and consulting agencies, Ron has built teams and shaped technical culture across different environments. He's passionate about AI-enabled development as a force multiplier and building solutions that create real business impact. Outside work, he boulders, runs, rides gravel bikes, and co-parents active teenagers—embracing structured chaos in all of it.
- Newton Troung, Engineering Manager: Newton joins Counterpart with 7+ years of experience in platform and data engineering. In his last company Thrive Market, he had a hand in building out new microservices and architecting data pipelines with Airflow and Spark. He's vegetarian and loves trying new restaurants when traveling. Nowadays he's busy keeping up with his 2-year-old and doing outdoor activities with his family.
- John Mendez, Engineering Manager: John has experience working at companies of all sizes. He enjoys startups and small-to-medium businesses, where he can wear multiple hats and help deliver solutions. Outside of work, he stays busy with his four kids and their activities. He also makes time to stay active by working out at home and running or walking with his dog.
COUNTERPART'S VALUES
- Conjoin Expectations - it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others.
- Speak Boldly & Honestly - the only failure is not learning from mistakes. Don't cheat yourself and your colleagues of the feedback needed when expectations aren't being met.
- Be Entrepreneurial - control your own destiny. Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. Leverage AI ruthlessly—we measure success by outcomes, not lines of code written. Use every available AI tool to ship faster and think more strategically.
- Practice Omotenashi ("selfless hospitality") - trust will follow. Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected.
- Hold Nothing As Sacred - create routines but modify them routinely. Take the time to reflect on where the business is today, where it needs to go, and what you have to change in order to get there.
- Prioritize Wellness - some things should never be sacrificed. We create an environment that stretches everyone to grow and improve, which is fulfilling, but is only one part of a meaningful life.
WE OFFER
- Work from Anywhere - Counterpart is a fully distributed company, meaning there is no office. We allow employees to work from wherever they do their best work, of course prioritizing meetings that often happen in US time zones.
- Language Classes - We sponsor up to $100 per calendar year to be used towards language classes to help support your English language skills.
- Paid Vacation and Time Off
- Parental Leave - Development Partners will be eligible for unpaid Parental Leave to bond with a newborn, newly-adopted, or newly placed child. Under this policy, development partners and independent contractors will be eligible for up to 8 weeks of unpaid parental leave. Any time off will be subject to approval and must be requested at least 45 days in advance.
- Computer - We reimburse you for your locally procured Macbook Pro. If you are still with the company after one year, it is yours to keep!
Our estimated pay range for this role is USD $90,000 - $110,000 annually. Contractor compensation is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience.
We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.
We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.
Ready to apply?
Apply to Counterpart
- Diseñar, desarrollar, probar y desplegar pipelines y plataformas de datos utilizando servicios de AWS.
- Construir y evolucionar arquitecturas de datos como data lake, lakehouse o data mesh.
- Desarrollar soluciones de datos end to end, incluyendo frameworks reutilizables y no solo pipelines individuales.
- Colaborar de forma activa con perfiles de Data Engineering, Analytics y DevOps para entregar soluciones de alto valor para el negocio.
- Asegurar el cumplimiento de políticas de gobierno del dato, seguridad y gestión de la información.
- Liderar la resolución de incidencias relacionadas con datos y participar en procesos de gestión del cambio, demostrando ownership de los proyectos desde su inicio hasta su entrega.
- Experiencia mínima de 3+ años trabajando en entornos Cloud.
- Sólidos conocimientos en Spark (Scala), Python y SQL.
- Experiencia demostrable en AWS, especialmente con S3, Glue, Athena, EMR, EC2 y Lambda.
- Conocimiento profundo de diseño de ETL y modelado de datos.
- Capacidad para entender procesos end to end y tomar decisiones técnicas adecuadas según el contexto.
- Pensamiento analítico orientado a identificar casos límite y retos de escalabilidad futuros.
- Titulación universitaria en carreras tecnológicas, preferiblemente Ingeniería Informática o similar.
- Nivel de Inglés Avanzado
- Experiencia con herramientas de CI/CD, como GitHub Actions.
- Conocimiento de Apache Iceberg u otros formatos de tablas analíticas.
- Experiencia con frameworks de calidad de datos como Great Expectations o Deequ.
- Conocimientos de Bash y HCL.
• Contrato indefinido con salario competitivo
• Modalidad flexible y posibilidad de trabajo remoto.
• Plan de carrera personalizado y formación continua
• Participación en proyectos estables con alto componente técnico.
• Flexibilidad horaria y enfoque en la conciliación.
• Beneficios sociales adaptados a tus necesidades
#LI-CF1
Ready to apply?
Apply to NEORIS
Senior DevOps Engineer
POWER A WORLD OF TRUST
Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.
Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.
We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!
About Incode
Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast—and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative.
The Impact You’ll Make
As a Senior DevOps Engineer at Incode, you will be the backbone of our cloud infrastructure. You’ll architect and evolve scalable, cloud-native systems that power secure and seamless identity experiences, leveraging Kubernetes, Terraform, and AWS. Your work will accelerate deployments, fortify monitoring and observability, and ensure reliability at global scale. Partnering closely with our developers, you’ll transform complex challenges into resilient, automated solutions that keep our applications highly available and performant. You will be a key enabler of speed, trust, and innovation—driving how Incode builds, delivers, and scales AI-driven identity verification for the world.
What You’ll Own & Drive
-
Cloud-Native Infrastructure – Design, implement, and maintain Kubernetes-based environments that deliver scalability, resilience, and security.
-
Infrastructure as Code (IaC) – Implement and manage Terraform-driven automation to ensure consistency, repeatability, and reliability across all client deployments.
-
Production Reliability – Troubleshoot and resolve issues in live environments, minimizing downtime and ensuring seamless customer experiences.
-
Monitoring & Logging – Build and optimize observability solutions with Prometheus, Loki, ELK, or similar stacks, tailoring systems to business and performance needs.
-
Engineering Standards – Contribute to and refine internal best practices, methodologies, and automation frameworks that elevate the DevOps culture.
-
Continuous Innovation – Stay on top of AWS and DevOps advancements, introducing new tools and approaches that enhance speed, efficiency, and scalability.
The Qualities That Set You Apart
-
Cloud-Native Builder – You bring proven expertise in designing, deploying, and managing applications on Kubernetes, with a deep understanding of its architecture and core concepts.
-
Infrastructure as Code Champion – You’re highly skilled with Terraform, driving automation and consistency across complex environments.
-
Pipeline Innovator – You have hands-on experience implementing and optimizing CI/CD workflows using GitLab CI/CD or GitHub Actions, accelerating delivery while ensuring quality.
-
AWS Practitioner – You possess a strong command of core AWS services (EC2, VPC, S3, IAM, etc.) and know how to leverage them for scalable, secure solutions.
-
Systems & Networking Thinker – You understand networking fundamentals—TCP/IP, DNS, HTTP/S—and apply them to build reliable, high-performance systems.
-
Clear Communicator – You excel at translating technical solutions into language that resonates with both technical peers and non-technical stakeholders.
Your Background
-
Proven experience as a DevOps Engineer or in a similar role.
-
Hands-on experience deploying and managing Kubernetes-based applications.
-
Strong expertise in Terraform and infrastructure automation.
-
Experience designing and implementing CI/CD pipelines with GitLab CI/CD or GitHub Actions.
-
Solid understanding of AWS services including EC2, VPC, S3, IAM, and related offerings.
-
Knowledge of networking protocols and best practices (TCP/IP, DNS, HTTP/S).
-
Strong written and verbal communication skills, with the ability to present technical solutions effectively.
Why Incode?
-
Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically.
-
Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years.
-
Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category.
-
Ownership & Autonomy – Operate like a founder with the resources of a unicorn.
-
Global Impact – Every program you launch will reverberate across industries and continents.
Ready to ignite the future of trust?
Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum.
Aspects of our Culture:
- High performance
- Freedom & responsibility
- Context, not control
- Highly aligned, loosely coupled
- Continuous Feedback
- Promotions & Development
- Learn more about Life at Incode!
Benefits & Perks:
- Flexible Working Hours & Workplace
- Open Vacation Policy
Equal Opportunities:
Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you.
Applicant Data Privacy:
We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.
Ready to apply?
Apply to Incode Technologies
Principal Engineer (JetBrains Cloud Platform, Developer Experience)
At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
About the Initiative
JetBrains is evolving beyond standalone developer tools toward a unified, AI-native platform for software development.
AI is no longer just an assistant inside the editor – it is becoming an active participant in how software is planned, built, reviewed, and operated across teams and organizations. This shift introduces new challenges that cannot be solved at the level of individual tools alone: governance, security, cost control, observability, and coordinated work between humans and autonomous agents.
Our goal is to build a platform that enables companies to adopt AI in software development in a structured, scalable, and economically efficient manner – without locking them into closed ecosystems.
We are building the foundation that connects developer workflows, team-level collaboration, and organizational control into a single coherent system.
This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments.
This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.
The role
We are looking for a Principal Engineer (JetBrains Cloud Platform, Developer Experience) to drive large-scale improvements to the development experience across the JCP.
This role focuses on making JCP engineers faster and more productive by improving build systems, CI/CD pipelines, local development workflows, tooling infrastructure, and AI pipelines. You will own the developer experience end to end – from how engineers develop, build, and test locally to how code moves through CI and reaches production. As this is a rapidly growing platform, many workflows and processes are still maturing. You will define what a great development experience looks like and drive the organization toward it.
As part of the team, you will:
- Own and drive the strategy for developer experience improvements across the entire JCP platform.
- Optimize build systems (Gradle, Nx, and others) for faster builds, better caching, and reliable reproducibility at scale.
- Set up AI development pipelines, managing context, agents, and handoffs, and leveraging tools developed within the JCP.
- Improve CI/CD pipelines – reduce build times, increase reliability, optimize resource usage, and shorten feedback loops across TeamCity and GitHub.
- Improve containerized development workflows (Docker, Dev Containers) to ensure fast and consistent local environments.
- Identify and eliminate bottlenecks in the development cycle – from code commit to production deployment.
- Establish best practices, tooling standards, and shared infrastructure that enable all teams to move faster.
- Collaborate with platform and product teams to understand pain points and deliver high-impact improvements.
We are looking for someone who:
- Has extensive experience with build systems (Gradle, Maven, or Bazel) and a track record of optimizing them at scale.
- Has strong expertise in CI/CD systems (GitHub Actions, TeamCity, Jenkins, or similar) and knows how to ensure high performance and reliability.
- Has hands-on experience with Docker and containerized development workflows.
- Understands the full software development life cycle and can reason about developer productivity holistically.
- Is able to drive cross-team initiatives and influence engineering practices across a large organization.
- Is motivated by making other engineers more productive and removing friction from their daily work.
We'd be particularly thrilled if you:
- Have experience improving the developer experience at scale in a platform or infrastructure organization.
- Have worked on AI-driven development pipelines.
- Have expertise in build caching, remote execution, and incremental build strategies.
- Have contributed to or maintained open-source build tooling or CI/CD infrastructure.
- Enjoy digging into performance problems and turning slow, flaky processes into fast, reliable ones.
#LI-MP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Developer Experience Lead (JetBrains Cloud Platform)
At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
About the Initiative
JetBrains is evolving beyond standalone developer tools toward a unified, AI-native platform for software development.
AI is no longer just an assistant inside the editor – it is becoming an active participant in how software is planned, built, reviewed, and operated across teams and organizations. This shift introduces new challenges that cannot be solved at the level of individual tools alone: governance, security, cost control, observability, and coordinated work between humans and autonomous agents.
Our goal is to build a platform that enables companies to adopt AI in software development in a structured, scalable, and economically efficient manner – without locking them into closed ecosystems.
We are building the foundation that connects developer workflows, team-level collaboration, and organizational control into a single coherent system.
This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments.
This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.
The role
We are looking for a Developer Experience Lead to drive large-scale improvements to the development experience across the JCP.
This role focuses on making JCP engineers faster and more productive by improving build systems, CI/CD pipelines, local development workflows, tooling infrastructure, and AI pipelines. You will own the developer experience end to end – from how engineers develop, build, and test locally to how code moves through CI and reaches production. As this is a rapidly growing platform, many workflows and processes are still maturing. You will define what a great development experience looks like and drive the organization toward it.
As part of the team, you will:
- Own and drive the strategy for developer experience improvements across the entire JCP platform.
- Optimize build systems (Gradle, Nx, and others) for faster builds, better caching, and reliable reproducibility at scale.
- Set up AI development pipelines, managing context, agents, and handoffs, and leveraging tools developed within the JCP.
- Improve CI/CD pipelines – reduce build times, increase reliability, optimize resource usage, and shorten feedback loops across TeamCity and GitHub.
- Improve containerized development workflows (Docker, Dev Containers) to ensure fast and consistent local environments.
- Identify and eliminate bottlenecks in the development cycle – from code commit to production deployment.
- Establish best practices, tooling standards, and shared infrastructure that enable all teams to move faster.
- Collaborate with platform and product teams to understand pain points and deliver high-impact improvements.
We are looking for someone who:
- Has extensive experience with build systems (Gradle, Maven, or Bazel) and a track record of optimizing them at scale.
- Has strong expertise in CI/CD systems (GitHub Actions, TeamCity, Jenkins, or similar) and knows how to ensure high performance and reliability.
- Has hands-on experience with Docker and containerized development workflows.
- Understands the full software development life cycle and can reason about developer productivity holistically.
- Is able to drive cross-team initiatives and influence engineering practices across a large organization.
- Is motivated by making other engineers more productive and removing friction from their daily work.
We'd be particularly thrilled if you:
- Have experience improving the developer experience at scale in a platform or infrastructure organization.
- Have worked on AI-driven development pipelines.
- Have expertise in build caching, remote execution, and incremental build strategies.
- Have contributed to or maintained open-source build tooling or CI/CD infrastructure.
- Enjoy digging into performance problems and turning slow, flaky processes into fast, reliable ones.
#LI-MP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Cloud Infrastructure Engineer (Kineto)
Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.
What you’ll do:
Cloud and platform engineering (DevOps):
- Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.
- Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.
- Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.
- Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.
- Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.
Operational excellence and reliability:
- Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.
- Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue backpressure.
- Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).
- Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.
Technical leadership:
- Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.
- Champion DevOps and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.
- Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.
We’d be glad to have you on our team if you:
- Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on DevOps/SRE practices.
- Possess deep, hands-on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).
- Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.
- Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.
- Are familiar with CI/CD tools, GitOps (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.
- Thrive in cross-functional teams and excel at communicating complex infrastructure ideas clearly.
#LI-YY1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Senior MLOps Engineer (ML Workflows Engineering)
At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.
By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.
As part of our team, you will:
- Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
- Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
- Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
- Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
- Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
- Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.
We’ll be happy to have you on our team if you have:
- Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
- A solid understanding of the ML lifecycle from idea to the customer-facing application.
- The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
- A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
- Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
- At least three years of Python experience writing clean, maintainable code in modern ML codebases.
Our ideal candidate would have experience with:
- ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
- Developing infrastructure components and services using cluster solutions like Kubernetes.
- The development of Python-based backend services.
- Creating and maintaining ML pipelines, including legacy ones.
- Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.
We’d be especially thrilled if you have experience with:
- LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
- Writing and maintaining Python libraries used by internal (or external) ML engineers.
- A strong theoretical background in NLP and transformer-based approaches.
- Writing code in Java and/or Kotlin.
#LI-HYBRID
#LI-MR1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Senior Full-stack QA Engineer (AI Platform)
At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.
We’re now looking for an experienced and proactive Full-stack QA Engineer to join our team to help us with functional and performance testing.
Your responsibilities will include:
- Developing and maintaining an automated testing infrastructure, setting up CI/CD pipelines, selecting and integrating existing tools, and designing new ones.
- Writing and improving automated tests, particularly for APIs.
- Collaborating with the QA and Development teams to design and execute test scenarios.
- Working with logs and monitoring tools (e.g. Kibana, Grafana) to detect functional issues and performance anomalies.
- Ensuring the quality of our distributed AI-powered systems by validating integrations with various language models and APIs.
We would like you on our team if you:
- Have at least three years of experience in software testing (manual and automated).
- Possess a solid understanding of REST APIs, request/response structures, status codes, and typical scenarios.
- Have hands-on experience with Postman or similar API testing tools.
- Are familiar with writing automated tests for APIs using any programming language or framework.
- Understand distributed systems and microservice architectures.
- Have basic Docker skills (running containers, working with Docker Compose).
- Are comfortable reading and interpreting OpenAPI/Swagger specifications.
- Have a basic understanding of authentication and authorization protocols (e.g. OAuth 2.0, API keys, and JWT).
- Can work well both independently and within a team, demonstrating strong self-management skills.
- Have a good command of English, both spoken and written.
We’d be especially thrilled if you:
- Have hands-on experience with cloud computing platforms (AWS, GCP) and container orchestration tools (Kubernetes, Helm).
- Have experience with CI/CD tools (e.g. TeamCity or GitHub Actions).
- Have experience with performance testing tools (e.g. k6).
- Are familiar with TypeScript and/or JavaScript.
- Have worked with automated testing infrastructure and processes.
- Enjoy digging into logs and debugging distributed systems.
Main focus:
- Quality assurance of new features
- Automation of regression testing
- Performance testing
Why join JetBrains?
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family.
- Learning and development opportunities. Access to conferences, courses, and language classes.
- Relocation support. We help make your move as smooth and stress-free as possible.
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Senior iOS Engineer
With our growing customer base and our expansion into new markets and use cases, we have more to build than ever at Affinity as we execute on our vision to put relationship intelligence at every professional's fingertips.
We're building a world-class dual-native mobile experience for our CRM platform. Our iOS app is used daily by dealmakers, investors, and professionals who rely on Affinity to manage millions of dollars in relationships and deals. We need an open-minded iOS expert to own and evolve our SwiftUI-based mobile application.
This is a unique opportunity to join a small, high-impact mobile team where you'll have significant ownership over the iOS codebase and architecture. As we expand our mobile presence, you'll also have the opportunity to contribute to our dual-native strategy, including Kotlin Multiplatform shared code and Jetpack Compose Android development.
Location: Barcelona, Spain
For this role, we're embracing a hub-hybrid model, designed to balance flexibility with meaningful in-person collaboration. Team members are expected in-office 2-days per week. We believe great things happen when people come together intentionally to connect, create, and build momentum as a team.
In this role, you will:
- Own the iOS codebase: Lead architecture decisions, maintain code quality, and drive technical excellence for our SwiftUI application
- Develop core platform functionality: Build new features while ensuring a seamless, high-performance experience for users across mobile interfaces
- Contribute to shared infrastructure: Help build and maintain our Kotlin Multiplatform (KMP) shared module for business logic, networking, and data models
- Ensure quality and performance: Write comprehensive tests, optimize for 60fps scrolling, manage memory efficiently, and maintain App Store quality standards
- Collaborate cross-functionally: Work closely with product, design, and backend teams to deliver cohesive features that delight users
- Support cross-platform development: Participate in Android development efforts, leveraging similarities between SwiftUI and Jetpack Compose
Qualifications:
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
- 5+ years of iOS development experience, with deep expertise in modern iOS development
- Expert-level SwiftUI skills: You have a strong understanding of SwiftUI architecture patterns, state management, MVVM, dependency injection, and compositional design.
- Swift 6 proficiency: You have a deep knowledge of modern Swift, including async/await.
- Shipped apps: You have a proven track record of shipping high-quality apps to the App Store.
- Networking and APIs: You have a strong understanding of REST APIs, JSON serialization, authentication, and error handling.
- Troubleshooting: You’re comfortable troubleshooting across network and application layers. You know how to diagnose and improve performance issues systematically.
- Communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. You can effectively contribute to technical strategy and roadmaps on product-oriented teams.
- Ownership: You demonstrate strong ownership instincts and sweat the details. You have strong convictions, weakly held, and assume validation and iteration are a given to produce the best results.
- Growth mindset: Interest in expanding beyond iOS to become a T-shaped mobile engineer.
Nice to have:
- Android experience or a strong desire to learn Kotlin Multiplatform knowledge
- AI-Driven Engineering
- UIKit knowledge
- Experience writing unit tests and UI tests.
- Experience building B2B or CRM applications
Tech stack:
Mobile
- iOS: SwiftUI, Swift 6, UIKit (for bridges), Xcode, Swift Package Manager
- Android: Jetpack Compose, Kotlin (you'll have opportunities to learn)
- Shared: Kotlin Multiplatform (for business logic and networking)
- CI/CD: Fastlane, CircleCI, GitHub Actions
Backend & Infrastructure
- Backend: Ruby on Rails, PostgreSQL
- APIs: REST, JSON, GraphQL
- Infrastructure: AWS, Kubernetes
How We Work:
Our culture is a key part of how we operate as well as our hiring process:
- Small, high-impact team: You'll be one of two mobile engineers, with significant ownership and influence
- T-shaped philosophy: We value deep expertise in one platform plus breadth across mobile development
- Dual-native approach: We build native iOS and Android apps that share business logic via Kotlin Multiplatform
- Strategic Delivery: Analyze business requirements to balance high-quality engineering with speed to market, making informed technical trade-offs to deliver value efficiently without compromising system integrity.
- Collaborative culture: Regular pair programming, thorough code reviews, and cross-functional collaboration
If you’d want to learn more about our values click here.
What you'll enjoy at Affinity:
- We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
- Health Benefits: Comprehensive health insurance for both you and your family.
- Learning & Development: We provide an annual education budget and a comprehensive L&D program.
- Wellness Support: We provide a monthly budget for wellness memberships/equipment to support your overall health and happiness.
About Affinity
With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals. How? Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals every month. We are are proud to have received Inc. and Fortune Best Workplaces awards as well as to be Great Places to Work certified for the last 5 years running. Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed.
We use E-Verify
Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.
Ready to apply?
Apply to Affinity.co
Senior Frontend Engineer
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
Are you passionate about building cutting-edge sports statistics software? Our dynamic Stats team is dedicated to pushing the boundaries of technology, creating innovative solutions, and fostering a culture of mentorship and continuous improvement. You’ll work with the latest tools and technologies, take ownership of the entire product lifecycle, and collaborate with a talented team of engineers. If you’re eager to make a meaningful impact and grow in a supportive, high-performing environment, we’d love to hear from you!
We are one of the largest sports betting operators across Europe and have recently started our expansion into Brazil, making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 90 million bets per month - why not join us?
We have offices based in Madrid but will be offering full flexibility with occasional meet-ups with your teams and leads in the office as well as collaboration with our offices in London, Zagreb and more!
What you’ll be doing:
- Owning the full product lifecycle, from the initial proposal and planning to implementation, release, and ongoing maintenance
- Building innovative solutions using modern technologies such as TypeScript, Vue, React, AWS, CircleCI, and GitHub Actions
- Mentoring teammates to help them achieve high-quality results while meeting deadlines
- Leading initiatives to enhance the development experience for engineers across the organization
- Creating and maintaining build processes and tools to streamline workflows and boost team efficiency
- Leveraging best-in-class tools like Notion, Jira Cloud, GitHub, Zoom, Lattice, and Slack to maximize productivity and collaboration
What we’re looking for:
- A minimum of 5 years of hands-on experience with JavaScript and a strong understanding of its ecosystem
- High proficiency in developing applications with TypeScript
- Practical experience with Vue or React (ReactRouter & NextJs)
- Knowledge of modular software architecture, including microservices and microfrontends
- A proven ability to mentor teammates, manage time and priorities effectively, and resolve dependencies
- Experience in writing comprehensive and reliable tests to ensure code quality
- A track record of developing and maintaining build tools and toolchains to improve developer experience (DX)
- Strong attention to detail and a commitment to delivering exceptional products
- Deep understanding of best practices, design patterns, and core principles in software development
- Expertise in performance optimization techniques and their practical application
- Strong collaboration skills, with a history of building productive relationships with users and stakeholders
- A team-first mindset, thriving in collaborative environments where success is shared
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
QA Engineer (Manual & Automation)
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry — a leading global manufacturing marketplace and digital industrial platform — is expanding its team and looking for a talented QA Engineer. This role is ideal for a detail-oriented and proactive professional who enjoys working in a fast-paced international environment. You will play a key role in ensuring the quality and reliability of our complex, large-scale web platforms that serve customers and partners worldwide.
As part of a distributed and highly collaborative team, you will take ownership of testing processes, help improve automation coverage, and contribute to maintaining Xometry’s reputation for delivering high-quality digital solutions.
Key Responsibilities
-
Take full ownership of testing for a specific product module, including test planning and manual execution.
-
Perform end-to-end testing of features across multiple regional platforms and services.
-
Create and maintain test documentation in English, report defects, and investigate platform behavior.
-
Understand business processes to ensure testing reflects real-world use cases.
-
Collaborate closely with developers and product managers to prioritize and validate issues.
-
Identify and report quality risks, participate in bug resolution and troubleshooting.
-
Design, develop, and maintain automated tests using TypeScript and Playwright.
-
Analyze failed tests, troubleshoot automation issues, and continuously improve test coverage and performance.
Requirements
-
Strong experience in manual testing of large complex web projects (platforms, SaaS, marketplaces, etc.)
-
Experience within globally scaled technology companies with a microservice architecture will be a big benefit
-
Strong experience with API testing
-
Strong problem-solving skills and attention to details
-
Strong English and Russian language skills, ability to explain things, participate in video calls, and write documentation in English is a must.
-
Technical education, ISTQB or other professional courses in testing is a strong advantage
-
Good understanding of web technology stack, programming & SQL experience is an advantage
-
Strong soft skills and teamwork orientation with ability to work effectively in a multi-regional, cross-cultural environment
-
At least 1 year of experience in test automation with any framework (Selenium, Playwright, Cucumber, etc.) or software development experience
-
Hands-on experience in test automation using Playwright and TypeScript is an advantage
-
Solid understanding of testing frameworks, test design patterns, and automation best practices
-
Experience in building test systems, CI/CD pipelines, and integrating automation into the development workflow is a strong plus
- Experience with Git, CI/CD tools (e.g., GitHub Actions, Jenkins, or similar) is an advantage
#-LI-Remote
Ready to apply?
Apply to Xometry Europe
About Us
At HSP Group, we're pioneering a new niche within the fast-growing industry of global expansion management. As a Stage B startup, we focus on delivering value through relentless innovation, execution, and customer delight. As part of a small but highly experienced and dynamic team, you will play a critical role in our company's success.
About Gateway HR
Gateway HR is our HRI
S platform designed specifically for global expansion management. It offers deep integration with Gateway GXM — our flagship global entity management platform — enabling capabilities like automatic payslip generation, intelligent contract management, and seamless cross-border compliance.
Our platform ecosystem already includes AI-powered document recognition and classification in production, event-driven serverless architecture on Azure, and a growing suite of integrated tools spanning HR, entity management, and compliance.
Job Description
This is a remote role
We're looking for a Lead Backend Engineer to own the technical direction of Gateway HR and drive its deep integration with GXM. You'll combine hands-on platform development with technical leadership of external development teams — evolving the architecture, building innovative features, and representing HSP's engineering standards across the codebase.
This is not a pure management role. You'll be writing code, reviewing PRs, challenging architectural decisions, and shipping features — while also setting the bar for quality and engineering practices.
The Team
You'll join a small, distributed engineering organization. Day-to-day, you'll work closely with the GXM backend team, an external development partner, and the product team. You report to the Director of Engineering.
In your first 90 days, expect to: get hands-on with both the Gateway HR and GXM codebases, establish your code review cadence with the external team, ship your first meaningful feature and start shaping the integration roadmap.
Responsibilities
Architecture & Development
- Evolve the Gateway HR architecture for scale, reliability, and deeper integration with GXM
- Design and build backend systems for automated payroll processing, compliance monitoring, and intelligent document handling
- Extend AI capabilities already in production (document recognition, classification) to new HR workflows
- Design APIs and event-driven workflows using Azure Service Bus for complex, multi-tenant operations
- Work across both MongoDB and PostgreSQL — our ecosystem uses both, and you'll need fluency in each
Engineering Excellence & External Team Management
- Lead and manage external development teams — enforce standards, challenge estimates, catch quality gaps
- Conduct rigorous code reviews and establish testing strategies (unit, integration, end-to-end)
- Build CI/CD pipelines using GitHub Actions for rapid, safe deployment
- Implement observability and monitoring for distributed HR workflows
- Champion code quality through documentation, mentoring, and leading by example
Leadership & Collaboration
- Mentor backend and full-stack developers — both internal and external
- Represent HSP's engineering interests when working with external development partners
- Collaborate with the GXM team on shared infrastructure, integration patterns, and architectural decisions
- Work with product to translate HRIS vision into technical reality
- Implement feature flag strategies for safe rollout of new capabilities
Qualifications
Required
- 7+ years backend development, 3+ years in technical leadership
- Experience in a regulated or compliance-heavy industry — finance, healthcare, HR/payroll, or large-scale e-commerce — where data security, audit trails, and regulatory requirements are non-negotiable
- TypeScript/Node.js — maintainable, production-ready code
- Azure serverless — Functions, Service Bus, API Management
- PostgreSQL with ORM experience (Sequelize or similar)
- MongoDB with advanced data modeling
- Experience managing external development teams — code reviews, quality enforcement, architectural guidance
- Event-driven architecture and distributed systems design
- Terraform for infrastructure as code
- GitHub Actions for CI/CD
- Track record of establishing engineering practices and raising quality standards
Preferred
- Background in HR technology, payroll platforms, or global workforce management —understanding multi-country employment, compliance, and employee lifecycle challenges
- Cerbos or similar policy-based authorization engines
- WorkOS or similar identity/authentication platforms
- Novu or similar notification infrastructure
- Python for AI/ML integration, data analytics, or workflow scripting
- Terragrunt for advanced IaC patterns
- System migration and refactoring experience — evolving legacy systems while maintaining uptime
- Multi-tenant SaaS architecture and global scalability patterns
Why Join Us?
- Own the technical direction of a platform deeply integrated with our flagship GXM product
- Lead both internal and external teams — a true engineering leadership role, not just coding
- Real AI in production — not buzzwords, but working document recognition and classification you'll extend
- Direct impact on product direction, architecture, and engineering culture
- Modern stack — Azure serverless, TypeScript, event-driven, infrastructure as code
- Remote-first culture with a small, experienced team where your leadership directly shapes the product
- Unique market position — deep integration between HR and global expansion management
If you’re a driven individual who wants to make your mark in the heart of the innovation economy, we’d love to meet you. Join our #HSPGlobalSolutionTeam and help us power the next wave of global growth.
Ready to apply?
Apply to HSP Group
Senior Data Consultant (m/f/*)
Our Data & Engineering community is growing, and we’re now looking for a Senior Data Consultant (m/f/*) to join our team in Spain, supporting our global growth.
As a Senior Data Consultant, you will combine deep hands-on experience in modern data platforms — particularly Databricks — with a strategic, client-oriented mindset. You’ll advise organizations on how to design, implement, and scale data-driven architectures, while guiding them through every stage of their digital transformation journey.
WHAT WE OFFER
- Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Spain)
- The chance to accelerate your career and work with outstanding colleagues in a collaborative, global learning community across three continents
- Opportunities to shape cutting-edge data projects and see your ideas implemented in real-world solutions
- Balance your work and personal life: choose to work from home, in the office, or in a hybrid setup
- Annual performance reviews and continuous feedback focused on collaboration and growth, not hierarchy
- A personalized development plan and professional advancement opportunities
- Access to learning resources — paid certifications, unlimited Udemy Business, and more
- Local, virtual, and global team events to connect with colleagues worldwide
WHAT YOU’LL DO
- Advise clients on the design and implementation of scalable data architectures using Databricks Lakehouse Platform, with a strong focus on Apache Spark, Delta Lake, and Unity Catalog
- Translate complex business requirements into data strategies, architecture blueprints, and technical roadmaps
- Design, implement, and optimize data pipelines for analytics, machine learning, and business intelligence workloads
- Collaborate with stakeholders — from executives to technical teams — to align data initiatives with business goals
- Ensure data quality, governance, and security best practices within Databricks and related ecosystems
- Support pre-sales and discovery activities by identifying client needs and defining technical approaches
- Mentor junior consultants and contribute to the growth of our Databricks and data consulting expertise
- Stay current with emerging technologies and trends in cloud data platforms and AI-driven analytics
WHAT YOU’LL BRING
- Proven experience in data consulting or architecture, with hands-on expertise in Databricks on Azure, AWS, or GCP
- Deep knowledge of Spark (PySpark/Scala), Delta Lake, and MLflow
- Strong programming skills in Python or Scala, and experience with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)
- Solid understanding of data modeling, distributed computing, and performance optimization in cloud environments
- Experience advising or working directly with enterprise clients on data modernization or cloud migration projects
- Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform)
- Excellent communication and stakeholder management skills, with the ability to translate technical solutions into business value
- Professional proficiency in Spanish and English (C1 level, written and spoken)
Did we pique your interest, or do you have any questions?
We’d love to hear from you — contact us at recruiting@ultratendency.com
ABOUT US
Ultra Tendency is a leading international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. We design, build, and operate large-scale, data-driven applications for major enterprises including the European Central Bank, HUK-Coburg, Deutsche Telekom, and Europe’s largest car manufacturer. Founded in Germany in 2010, Ultra Tendency has grown to 8 offices across 10 countries on 3 continents, serving a trusted and expanding client base.
We don’t just use technology—we create it. Our team contributes to over 20 open-source projects, including Ansible, Terraform, NiFi, and Kafka, making a visible impact on both technology and business. Enterprises choose Ultra Tendency because we solve the problems others cannot.
We thrive on challenges. Here, you’ll work on unique projects you won’t find elsewhere and become part of a knowledge-driven, supportive community—not a rigid hierarchy. Continuous learning, feedback, and collaboration drive both personal and professional growth, while maintaining a healthy work-life balance.
Ultra Tendency evaluates applications based on skills and business fit. We welcome candidates from all backgrounds, regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.
Data privacy statement: Data Protection for Applicants – Ultra Tendency
Ready to apply?
Apply to Ultra Tendency
Senior Data Engineer - Databricks (m/f/*)
Our Engineering community is growing, and we’re now looking for a Senior Data Engineer - Databricks (m/f/*) to join our team in Spain, supporting our global growth.
As Senior Data Engineer (m/f/*), you design and optimize data processing algorithms on a talented, cross-functional team. You are familiar with the Apache open-source suite of technologies and want to contribute to the advancement of data engineering.
WHAT WE OFFER
- Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Spain)
- A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents
- Contribute your ideas to our unique projects and make an impact by turning them into reality
- Balance your work and personal life through our workflow organization and decide yourself if you work at home, in the office, or on a hybrid setup
- Annual performance review, and regular feedback cycles, generating distinct value by connecting colleagues through networks rather than hierarchies
- Individual development plan, professional development opportunities
- Educational resources such as paid certifications, unlimited access to Udemy Business, etc.
- Local, virtual, and global team events, in which UT colleagues become acquainted with one another
WHAT YOU’LL DO
- Design, implement, and maintain scalable data pipelines using Databricks Lakehouse Platform, with a strong focus on Apache Spark, Delta Lake, and Unity Catalog.
- Lead the development of batch and streaming data workflows that power analytics, machine learning, and business intelligence use cases.
- Collaborate with data scientists, architects, and business stakeholders to translate complex data requirements into robust, production-grade solutions.
- Optimize performance and cost-efficiency of Databricks clusters and jobs, leveraging tools like Photon, Auto Loader, and Job Workflows.
- Establish and enforce best practices for data quality, governance, and security within the Databricks environment.
- Mentor junior engineers and contribute to the evolution of the team’s Databricks expertise.
WHAT YOU’LL BRING
- Deep hands-on experience with Databricks on Azure, AWS, or GCP, including Spark (PySpark/Scala), Delta Lake, and MLflow.
- Strong programming skills in Python or Scala, and experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps).
- Solid understanding of distributed computing, data modeling, and performance tuning in cloud-native environments.
- Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform).
- A proactive mindset, strong communication skills, and a passion for building scalable, reliable data systems.
- Professional Spanish & English communication skills (C1-level, written and spoken).
Did we pique your interest, or do you have any questions?
We want to hear from you: contact us at recruiting@ultratendency.com
ABOUT US
Ultra Tendency is a leading international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. We design, build, and operate large-scale, data-driven applications for major enterprises including the European Central Bank, HUK-Coburg, Deutsche Telekom, and Europe’s largest car manufacturer. Founded in Germany in 2010, Ultra Tendency has grown to 8 offices across 10 countries on 3 continents, serving a trusted and expanding client base.
We don’t just use technology—we create it. Our team contributes to over 20 open-source projects, including Ansible, Terraform, NiFi, and Kafka, making a visible impact on both technology and business. Enterprises choose Ultra Tendency because we solve the problems others cannot.
We thrive on challenges. Here, you’ll work on unique projects you won’t find elsewhere and become part of a knowledge-driven, supportive community—not a rigid hierarchy. Continuous learning, feedback, and collaboration drive both personal and professional growth, while maintaining a healthy work-life balance.
Ultra Tendency evaluates applications based on skills and business fit. We welcome candidates from all backgrounds, regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.
Data privacy statement: Data Protection for Applicants – Ultra Tendency
Ready to apply?
Apply to Ultra Tendency
Nuvolar is a global technology consulting company specializing in Salesforce-based solutions, mobile and web application development, and training and support services. With over 14 years of experience and a multicultural team of more than 100 professionals, Nuvolar delivers projects for highly complex industries such as aviation, healthcare, consumer goods, and transportation.
Our mission is to transform innovative ideas into reality by optimizing business processes, enabling technology adoption, and developing tailored solutions that empower our clients to grow and adapt in demanding environments.
At Nuvolar, we value international talent, diversity, flexibility, and a collaborative work environment that fosters both professional growth and personal well-being.
Job Description
Thank you for considering a future opportunity with Nuvolar! We are not currently hiring for this specific role, but we would love to connect with talented individuals who are interested in potential future positions. By joining our talent pipeline, you will be the first to be notified when suitable opportunities arise.
In this talent pipeline requisition, we are not actively recruiting for this position at the moment. However, we are building a network of exceptional individuals who possess the skills and experience required for future openings. By submitting your application to this requisition, you will be added to our talent pipeline and may be invited for an exploratory conversation with someone from our Talent Acquisition team to be considered for future opportunities.
About the Role
We aspire to cultivate a team equipped with unmatched expertise, agility, and dedication to excellence. We are looking for an experienced QA Automation Engineer with experience in testing web and API applications. In this role, you will contribute to both manual and automated testing activities, defining the overall testing strategy and ensuring high-quality standards across UI, API, performance, and security testing.
You will design, implement, and maintain scalable and maintainable test automation frameworks, create and execute functional, non-functional, integration, regression, API, and end-to-end tests, and actively contribute to code reviews and CI/CD pipelines. Additionally, you will estimate testing efforts, maintain test documentation, and mentor junior QA team members, driving continuous improvement and best practices across the project.
Qualifications
- 6+ years of experience in manual and automated testing.
- Strong coding skills in TypeScript (preferred) or other languages such as Python or Java.
- Hands-on experience with modern UI automation tools (Playwright preferred; Cypress or Selenium considered).
- Solid experience testing APIs (Postman, RestAssured, requests, etc.).
- Knowledge of Docker, CI/CD tools (Jenkins, GitHub Actions, GitLab CI), Git, relational databases, and SQL.
- Understanding of testing design patterns, test automation patterns, and test management tools (TestRail, Xray, etc.).
- Strong communication skills in English and experience working in Agile environments.
Nice to have: Performance testing experience (k6, Gatling, Locust, JMeter), basic security testing knowledge, cloud platforms (AWS, Azure), TCP/IP and network protocols familiarity, and experience with Gherkin/BDD frameworks.
What to expect from us?
- People-First Culture – We care about our team, support each other, and celebrate successes together.
- Continuous Learning – Access to training programs, mentorship, career development opportunities, and an annual professional development budget.
- Health and Wellness Perks – Private health insurance and gym subsidy.
- Great Company Culture – Team events, knowledge-sharing sessions, and fun activities throughout the year.
Our hiring process
1️⃣ HR Interview – Cultural fit interview to get to know each other.
2️⃣ Technical Test – A coding challenge to assess your skills.
3️⃣ Technical Interview – A deep dive into your technical abilities and thought process.
Join us in a role that offers not only exciting challenges but also the opportunity to make a meaningful impact in the technology and consulting industry.
If you want to be aware of all of our latest updates, follow us via LinkedIn | Instagram | Glassdoor | Medium
Equal Opportunity Statement
Nuvolar Works is an equal-opportunity employer. We welcome and encourage applications from all backgrounds. We do not discriminate based on age, sex, gender, gender identity or expression, sexual orientation, family or marital status, disability, national origin, race, ethnicity, religion, or any other protected characteristic. Candidates with disabilities are encouraged to apply, and we are committed to providing an inclusive and accessible recruitment process. If you require any adjustments during the hiring process, please let us know.
Ready to apply?
Apply to Nuvolar
At Ledgy, we’re on a mission to make Europe a powerhouse of entrepreneurship by building a modern, tech-driven equity management and financial reporting platform for private and public companies. In 2026, we aim to be the leading provider for European IPOs and reporting for share-based payments. We are a value-based company with a core focus on being humble, transparent, ambitious and impactful, all in order to delivery the best experience for our customers and end users.
We are proud to partner with some of the world’s leading investors. New Enterprise Associates led our $22m Series B round in 2022, with Philip Chopin joining Sequoia’s Luciana Lixandru on our board.
We were founded in Switzerland in 2017 and today we operate globally from offices in Zurich and London. We encourage diversity and are an international team coming from 26 different countries and speaking 25 different languages.
About the Role
As a Senior/Staff Software Engineer at Ledgy, you’ll design and build elegant, scalable systems that power how companies manage their equity. You’ll collaborate with fellow engineers (based mainly in Zurich and London), product managers, and designers to develop industry-leading automation and experiences — while many in our space still rely on manual processes.
In the first 30 days:
- Be paired with an onboarding buddy who will introduce you to the world of equity management
- Get to know our engineering team, product managers, and designers
- Understand how your team’s surface area connects to the broader Ledgy platform
- Start contributing to the codebase with the guidance of experienced team members
In the first 3 months:
- Ship independently on impactful product features and improvements
- Participate in architecture discussions around scaling workflows, data models, and integrations
- Work alongside other engineers to implement robust, reliable data flows
- Develop a deep understanding of how companies manage and automate equity
- Participate in code reviews and help maintain our engineering standards
In the first 6–12 months:
- Take ownership of key features and improvements within your team’s domain
- Help shape the technical direction and architecture of Ledgy’s equity platform
- Collaborate with Product and Design to deliver polished, user-centric experiences
- Mentor other engineers and share expertise in automation, data modeling, and scalability
Teams we’re hiring for
Core Equity — Owns the foundational logic that powers Ledgy’s equity engine. Every equity-related event such as issuing shares, creating new pools, or adjusting ownership — generates transactions. This team defines and maintains the transaction logic, data model, and core domain behaviour that ensure Ledgy’s platform remains accurate, scalable, and compliant.
Workflows & Automation — Focuses on automating complex equity workflows and integrating with third-party services, including the trading exchange. The team builds systems that help company admins efficiently onboard and offboard employees, automate equity grants and terminations, and enable employees to sell their shares seamlessly once vested.
Reporting — Transforms Ledgy’s core equity data into financial, operational, and compliance reports. The team manages large, complex datasets and ensures reporting is accurate, performant, and reliable across jurisdictions and company structures. Their work powers the insights companies and auditors rely on for decision-making and transparency.
The job is a good fit if:
- You have 7+ years of experience working as a Software Engineer
- You're excited about the impact of equity on entrepreneurship and its real-world impact for companies
- You enjoy tackling complex financial data transformations and compliance requirements
- You enjoy writing clean, maintainable TypeScript code, both in the backend and frontend
- You are excited to work with React, NodeJS, and MongoDB
- You thrive in collaborative environments and enjoy pair programming
- You take pride in creating robust, tested solutions for critical business operations
Being part of Ledgy means:
- Recharge and re-energize with flexible working hours, 25 days of vacation, and up to 40 days of remote work from outside your home country.
- We make space for your own professional development, with a generous yearly learning & development budget.
- This role will receive a competitive salary + benefits + equity. All salaries are aligned with competitively benchmarked ranges based on work location and levelling.
- For candidates based in London or Zurich we use a hybrid work model of 1 day in the office per week.
Our tech stack:
We have a modern, cohesive stack that lets us move fast while maintaining quality:
- Language: TypeScript
- Frontend: React, Tailwind CSS, tRPC
- Backend: tRPC, Node.js, MongoDB
- Infrastructure: GCP, Terraform Cloud, Kubernetes, Docker, Github Actions
The interview process:
- CV Review: we review your resume to see if we might be a good fit
- Getting to know you (30 min): meet with someone from our people team to talk about your experience and to answer questions about the role
- Live Coding (75 min): We'll present you with an equity domain problem to solve collaboratively using your preferred language and IDE
- System Design (60 min): You'll walk us through an architecture you've significantly contributed to in the past, and we'll explore different aspects based on your experience
- Culture Interview: A chance to meet one of our founders for a 30 minute chat about Ledgy’s mission and values
- Offer 🎉
Ready to apply?
Apply to Ledgy