Principal Test Automation Engineer (AI - first)
⚲ Poznań, Warszawa
Do uzgodnienia
Opis stanowiska
Nasze wymagania:
The “AI-first” Mindset:
- Beyond technical mastery, we value quality engineers who treat AI as a core partner in their workflow:
- Agentic Testing: Enabling teams in leveraging AI agents to automate routine quality tasks, e.g. test generation, failure triage, flaky test maintenance, so engineering effort focuses on what requires human judgment.
- SDLC Optimization: Using AI tools (Claude Code, Cursor, or equivalent) to accelerate test design, coverage analysis, and quality pipeline improvements.
- Regulated Awareness: Understanding that AI-generated test artifacts in a medical software context require validation, traceability, and human oversight - and building that into the workflow from the start.
Technical skills:
- Deep understanding of testing strategy designs - test pyramid thinking, shift-left practices, test isolation strategies, test parallelism, parametrization
- Hands-on experience with highly scalable testing frameworks for E2E and integration scenarios
- Proven experience with OOP languages (e.g. Java, Typescript) and principles, multiple languages are an asset
- Understanding and ability to apply testing patterns like Page Object Model, Screenplay, AAA, data-driven testing
- Extensive experience in developing CI/CD pipelines (GitHub Actions, GitLab CI, or similar), including sharding, parallelism
- Understanding of API testing - REST, contract validation, backend integration verification
- Fluency in AI-driven development and testing - flexible using different tools, preventing AI slop, applying agentic workflows and prompt engineering to daily work
- Experience with containerized test environments (Docker, Testcontainers) for reliable, reproducible test execution
Experience:
- 8+ years in software engineering, with focus on quality engineering and test automation roles
- Track record of setting and enforcing quality standards across teams, not just executing within them
- Professional proficiency in English
O projekcie:
We are seeking a Principal Test Automation Engineer ( AI - first ) to own quality engineering strategy and automation for our greenfield Prenatal Screening product - a regulated clinical diagnostic solution for first-trimester trisomy and preeclampsia risk assessment. This is not a blank canvas: quality and traceability obligations are built into the foundation from day one. As the platform matures, there may be an opportunity to expand your scope further within the portfolio.
This is not a QA management role - it is a hands-on engineering role. As a Principal-level individual contributor, you will create automations, define and enforce the standards, establish the foundational frameworks, and embed quality into the daily engineering workflow - working with the whole team through code review, tooling and technical guidance. You will apply AI tooling and agentic testing approaches to enable sustainable quality at scale, in an environment where software quality is a patient safety requirement.
At Roche, we offer a hybrid work model that combines flexibility with in-person collaboration. For now, we require our employees to be in our offices on average two days per week. The specific office days may vary depending on business needs, such as workshops, conferences, town halls, team meetings, and other collaborative events.
Zakres obowiązków:
Design and implement a risk-based, layered testing strategy - minimizing risk by coverage through unit, integration and API tests, reserving E2E automation for critical user journeys
Use AI tooling as a primary driver of quality - agentic test generation, AI-assisted coverage analysis, resilient and maintainable automation. Shifting the balance from manual testing effort to intelligent, scalable automation
Shape quality engineering practices across the diagnostic solutions portfolio by defining shared standards, patterns, and tooling that raise the quality bar beyond the immediate product squad
Define and enforce testing standards, patterns, and best practices, enabling developers to own quality as part of their everyday workflow
Bootstrap and define Playwright automation patterns and reference implementations that the development teams adopt and extends
Integrate testing into CI/CD pipelines for fast, reliable feedback on every commit
Support the team in meeting medical software quality obligations by contributing to traceability, auditability and compliance processes
Evaluate and selectively adopt AI-driven testing tools applicable to regulated healthcare software
Oferujemy:
Annual bonus payment based on your performance.
Dedicated training budget (training, certifications, conferences, diversified career paths).
Recharge Fridays (2 Fridays off per quarter available).
Take time Program (up to 3 months of leave to use for any purpose).
Flex Location (possibility to perform our work from different places in the world for a certain period of time).
Take Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice).
Private healthcare (LuxMed packages), group life insurance (UNUM) and Multisport.
Stock share purchase additions.
Yearly sales of company laptops and cars and many more!
The “AI-first” Mindset:
- Beyond technical mastery, we value quality engineers who treat AI as a core partner in their workflow:
- Agentic Testing: Enabling teams in leveraging AI agents to automate routine quality tasks, e.g. test generation, failure triage, flaky test maintenance, so engineering effort focuses on what requires human judgment.
- SDLC Optimization: Using AI tools (Claude Code, Cursor, or equivalent) to accelerate test design, coverage analysis, and quality pipeline improvements.
- Regulated Awareness: Understanding that AI-generated test artifacts in a medical software context require validation, traceability, and human oversight - and building that into the workflow from the start.
Technical skills:
- Deep understanding of testing strategy designs - test pyramid thinking, shift-left practices, test isolation strategies, test parallelism, parametrization
- Hands-on experience with highly scalable testing frameworks for E2E and integration scenarios
- Proven experience with OOP languages (e.g. Java, Typescript) and principles, multiple languages are an asset
- Understanding and ability to apply testing patterns like Page Object Model, Screenplay, AAA, data-driven testing
- Extensive experience in developing CI/CD pipelines (GitHub Actions, GitLab CI, or similar), including sharding, parallelism
- Understanding of API testing - REST, contract validation, backend integration verification
- Fluency in AI-driven development and testing - flexible using different tools, preventing AI slop, applying agentic workflows and prompt engineering to daily work
- Experience with containerized test environments (Docker, Testcontainers) for reliable, reproducible test execution
Experience:
- 8+ years in software engineering, with focus on quality engineering and test automation roles
- Track record of setting and enforcing quality standards across teams, not just executing within them
- Professional proficiency in English
O projekcie:
We are seeking a Principal Test Automation Engineer ( AI - first ) to own quality engineering strategy and automation for our greenfield Prenatal Screening product - a regulated clinical diagnostic solution for first-trimester trisomy and preeclampsia risk assessment. This is not a blank canvas: quality and traceability obligations are built into the foundation from day one. As the platform matures, there may be an opportunity to expand your scope further within the portfolio.
This is not a QA management role - it is a hands-on engineering role. As a Principal-level individual contributor, you will create automations, define and enforce the standards, establish the foundational frameworks, and embed quality into the daily engineering workflow - working with the whole team through code review, tooling and technical guidance. You will apply AI tooling and agentic testing approaches to enable sustainable quality at scale, in an environment where software quality is a patient safety requirement.
At Roche, we offer a hybrid work model that combines flexibility with in-person collaboration. For now, we require our employees to be in our offices on average two days per week. The specific office days may vary depending on business needs, such as workshops, conferences, town halls, team meetings, and other collaborative events.
Zakres obowiązków:
Design and implement a risk-based, layered testing strategy - minimizing risk by coverage through unit, integration and API tests, reserving E2E automation for critical user journeys
Use AI tooling as a primary driver of quality - agentic test generation, AI-assisted coverage analysis, resilient and maintainable automation. Shifting the balance from manual testing effort to intelligent, scalable automation
Shape quality engineering practices across the diagnostic solutions portfolio by defining shared standards, patterns, and tooling that raise the quality bar beyond the immediate product squad
Define and enforce testing standards, patterns, and best practices, enabling developers to own quality as part of their everyday workflow
Bootstrap and define Playwright automation patterns and reference implementations that the development teams adopt and extends
Integrate testing into CI/CD pipelines for fast, reliable feedback on every commit
Support the team in meeting medical software quality obligations by contributing to traceability, auditability and compliance processes
Evaluate and selectively adopt AI-driven testing tools applicable to regulated healthcare software
Oferujemy:
Annual bonus payment based on your performance.
Dedicated training budget (training, certifications, conferences, diversified career paths).
Recharge Fridays (2 Fridays off per quarter available).
Take time Program (up to 3 months of leave to use for any purpose).
Flex Location (possibility to perform our work from different places in the world for a certain period of time).
Take Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice).
Private healthcare (LuxMed packages), group life insurance (UNUM) and Multisport.
Stock share purchase additions.
Yearly sales of company laptops and cars and many more!
🔍 Dekoder Ogłoszenia
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The “AI-first” Mindset
Firma chce, abyś aktywnie szukał i wdrażał rozwiązania oparte na AI w procesach testowych, a nie tylko używał istniejących narzędzi.
🔴
Agentic Testing: Enabling teams in leveraging AI agents to automate routine quality tasks
Oczekuje się, że będziesz tworzyć lub konfigurować zaawansowane systemy AI do samodzielnego wykonywania zadań testowych, co może wymagać eksperymentowania i rozwoju nowych rozwiązań.
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SDLC Optimization: Using AI tools (Claude Code, Cursor, or equivalent) to accelerate test design, coverage analysis, and quality pipeline improvements.
Może to oznaczać, że będziesz musiał szybko nauczyć się i zintegrować nowe, potencjalnie niedojrzałe narzędzia AI, które niekoniecznie są standardem rynkowym.
🔴
Regulated Awareness: Understanding that AI-generated test artifacts in a medical software context require validation, traceability, and human oversight - and building that into the workflow from the start.
Praca w branży medycznej oznacza wysokie wymagania dotyczące dokumentacji i procesów, co może znacząco spowolnić i skomplikować wdrażanie rozwiązań AI.
🔴
Fluency in AI-driven development and testing - flexible
Oczekuje się od Ciebie dużej elastyczności i gotowości do adaptacji do szybko zmieniających się technologii i metodologii AI, co może oznaczać ciągłe uczenie się i eksperymentowanie.