Company Description
At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster.
We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 20 nationalities. Collaboration, flexibility, and continuous learning are part of our DNA.
At CluePoints, you’ll find a culture where you can grow, make an impact, and have fun along the way. Guided by our values of Care, Passion, and Smart Disruption, we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide.
The Role
We are looking for a highly skilled Automation Tester with strong Playwright expertise whoembraces an AI-First approach to quality engineering. While automation will be your primaryfocus, we value professionals who maintain strong manual and exploratory testing capabilities and can adapt based on product needs.
You will play a critical role in designing scalable automation frameworks, leveraging AI tools likeGitHub Copilot/Codex to accelerate test development, and contributing to overall productquality through both automated and exploratory testing strategies. You will also help shape howwe adopt AI in quality engineering: building reusable AI skills and agents, setting standards forresponsible AI use, and mentoring colleagues as we move from simply using AI codingassistants to delivering governed, scalable AI-enabled testing capabilities
Job requirements
What You’ll Bring
- Strong hands-on experience with Playwright automation framework (JavaScript or TypeScript).
- Demonstrated use of AI coding assistants (GitHub Copilot, Codex, Claude, Cursor,ChatGPT, or similar) in real delivery, with governance and validation rather than pure consumption.
- Experience designing AI-native quality engineering solutions: prompt engineering, AI-assisted test generation, intelligent test maintenance, self-healing, and evaluation of AI outputs.
- Knoweldedge of building reusable AI skills / agents for testing use cases such as test generation, requirements analysis, failure analysis, exploratory testing, and releasequality assessment.
- Solid understanding of creating automation frameworks from scratch and design patterns.
- Experience integrating automated tests into CI/CD pipelines, including containerised test execution (Docker, K8s / K3s) and cloud-native test infrastructure.
- Experience with test management tools such as Zephyr, Xray, or similar.
- Strong understanding of software testing fundamentals (test design techniques, defectlifecycle, risk analysis, risk-based testing, shift-left, defect prevention).
- Proven experience in manual and exploratory testing of web applications.
- Ability to mentor and coach colleagues, set standards, and drive AI adoption acrosssquads.
- Strong stakeholder communication, able to influence engineering teams and leadership on automation strategy, AI adoption, and QE transformation.
(Nice to have)
- Regulation experience in the pharmaceuticals (clinical trials), Insurance / Banking / Fintech (advantageous)
Job responsibilities
What You’ll Be Doing
Test Automation (Primary Focus)- Designing, developing, and maintaining scalable Playwright-based automation frameworks for UI, API, and end-to-end testing.
- Writing clean, maintainable, and reusable test code using TypeScript or JavaScript.
- Integrating automated test suites into CI/CD pipelines (GitHub Actions, Azure DevOps,Jenkins, etc.) with parallel, containerised execution (Docker, Kubernetes / K3s) and quality gates that hold the line without slowing delivery.
- Ensuring robust reporting, logging, traceability, and clear failure diagnostics.
- Continuously improving framework reliability, performance, and maintainability.
- Owning automation strategy across API, UI, integration, and end-to-end layers: risk-basedand aligned to the right level of the test pyramid.
- Leveraging AI coding assistants (e.g., GitHub Copilot, Codex, or similar tools) toaccelerate test development and framework enhancement.
- Using AI tools to generate high-quality test scenarios from requirements and user stories.
- Reviewing, validating, and refining AI-generated code to ensure accuracy, scalability, andmaintainability.
- Contributing to AI-driven test design patterns and reusable automation strategies.
- Promoting AI-augmented productivity practices within the QA team.
- Designing and building AI-native testing capabilities: reusable AI skills, agents, andworkflows for test generation, intelligent maintenance, self-healing, failure analysis, andrelease-quality assessment.
- Driving responsible AI adoption across squads by establishing standards for when AIgenerated code and tests can be trusted, reviewed, modified, or rejected.
- Optimising AI workflows for cost and quality: prompt engineering, context management,token/model selection, reuse of skills and agents, and safe autonomy limits.
- Mentoring engineers, running code reviews, and measuring the impact of AI-driven testingwith meaningful metrics (productivity, coverage, defect detection, maintenance effort, AIaccuracy, cost).
Manual Testing
- Performing exploratory testing to uncover edge cases, usability gaps, and unexpected systembehavior.
- Designing and executing manual test scenarios when automation is not practical or during early-stage feature validation.
- Collaborating closely with product and engineering teams to clarify requirements and surface hidden assumptions.
- Identifying high-value automation candidates through exploratory testing sessions.
Benefits
🇵🇱 What We Offer – Poland
- Comprehensive Health Insurance (medical, dental, and online consultations, 100% employee coverage)
- Life Insurance through UNUM
- Cafeteria Plan with flexible monthly credits for wellness, entertainment, and travel
- MultiSport Card, co-financed 50/50
- Employee Capital Plans (PPK) with 4% employer contribution
- A hub-based hybrid model that blends flexibility with purpose — connecting teams through collaboration, learning, and a vibrant social culture.
Equal Opportunities & Data Privacy Statement
CluePoints is an equal opportunity employer committed to diversity and inclusion in the workplace.
Your personal data will be processed by CluePoints for recruitment purposes in accordance with the Regulation (EU) 2016/679 (GDPR).
If you wish for your data to be retained for future opportunities, please include the following statement in your CV:
“I consent to the processing of my personal data by CluePoints for the purposes of future recruitment processes.”
Skills Required
- Strong hands-on experience with the Playwright automation framework using JavaScript or TypeScript
- Demonstrated real-world use of AI coding assistants such as GitHub Copilot, Codex, Claude, Cursor, or ChatGPT, including governance and validation
- Experience designing AI-native quality engineering solutions, including prompt engineering, AI-assisted test generation, intelligent test maintenance, self-healing, and AI-output evaluation
- Knowledge of building reusable AI skills or agents for test generation, requirements analysis, failure analysis, exploratory testing, and release-quality assessment
- Experience creating automation frameworks from scratch and applying software design patterns
- Experience integrating automated tests into CI/CD pipelines with Docker, Kubernetes or K3s, and cloud-native test infrastructure
- Experience with test management tools such as Zephyr or Xray
- Strong understanding of software testing fundamentals, test design, defect lifecycle, risk analysis, risk-based testing, shift-left, and defect prevention
- Proven experience performing manual and exploratory testing of web applications
- Ability to mentor and coach colleagues, establish standards, and drive AI adoption across squads
- Strong stakeholder communication skills and ability to influence engineering teams and leadership
- Regulatory experience in pharmaceuticals, clinical trials, insurance, banking, or fintech
What We Do
CluePoints provides pharmaceutical companies and contract research organizations (CROs) with technology for identifying, visualizing, managing, and documenting risks that could affect clinical-trial outcomes. Its mission is to give clinical research organizations a better way to oversee risk, helping them recognize, assess, and document potential problems that might undermine trial success and strengthen the quality and reliability of clinical-trial decision-making.
