About kaiko

Delivering high quality cancer care is complex; specialists form a view of each patient's condition by reasoning across different data: CT scans, genomics, treatment history, and clinical notes.

Current AI are powerful within domains but fall short when it comes to reasoning across data or domain areas. kaiko.w, our AI assistant for oncology, aims to equip every clinician with a full understanding of their patients, helping them reason across data as they assess each case.

We’re building this in close collaboration with the Netherlands Cancer Institute (NKI) and a growing network of hospitals and research centers. We’ve raised significant long-term funding and have nearly doubled our team over the past year. We’re now 80+ people representing 25 nationalities, based across our offices in Zurich and Amsterdam.

About the role

As we scale our product in a clinical setting, the cost of quality gaps grows, both in engineering velocity and clinician trust.

You’ll step in as our senior hands-on QA engineer, shaping how we test, verify, and release software within the development team. You’ll ensure quality is built into the process, not bolted on: improving test coverage, traceability, and engineering practices around verification.

It’s a high-impact, high-ownership role: you’ll work side-by-side with engineers, influence technical decisions, and help us ship robust, reliable software that supports real-world cancer care, without owning regulatory or project management overhead.

You will be based in The Netherlands or Switzerland, with the expectation of spending at least 50% of your time at the office.

Some areas of responsibility

• Lead the design and execution of test strategies across manual, automated, and regression testing

• Ensure all software changes are verified against requirements, with clear, audit-ready traceability

• Drive improvements in test automation, CI/CD quality gates, and release validation workflows

• Mentor engineers on QA practices and foster a culture of quality ownership across the team

About you

• 5+ years in QA or testing roles, with deep hands-on experience in software development environments

• Proven track record in improving QA processes within engineering (e.g., traceability, test coverage, automation)

• Strong technical skills: experienced with test frameworks, APIs, CI/CD, and tools like Jira, Git, and Confluence

• Proactive and analytical: you spot gaps before they become problems and move fast to fix them

Nice to have:

• Experience in regulated environments (e.g. medical devices, IEC 62304, ISO 13485)

• Hands-on scripting or automation experience (e.g. Python, Cypress, Playwright)

• Familiarity with testing AI/ML-driven applications or clinical software

We are excited to gather a broad range of perspectives in our team, as we believe it will help us build better products to support a broader set of people. If you’re excited about us but don’t fit every single qualification, we still encourage you to apply: we’ve had incredible team members join us who didn’t check every box!

Why kaiko

At kaiko, we believe the best ideas come from collaboration, ownership and ambition. We’ve built a team of international experts where your work has direct impact. Here’s what we value:

• Ownership: You’ll have the autonomy to define your approach, improve systems, and see the impact of your work.

• Collaboration: You’ll work closely with engineers, product, and clinicians — building solutions grounded in real need.

• Ambition: You’ll be surrounded by people who set high standards, embrace challenges, and are relentless in improving patient outcomes.

In addition, we offer:

• An attractive and competitive salary, a good pension plan and 25 vacation days per year.

• Great offsites and team events to strengthen the team and celebrate successes together.

• A EUR 1000 learning and development budget to help you grow.

• Autonomy to do your work the way that works best for you, whether you have a kid or prefer early mornings.

• An annual commuting subsidy.

Our interview process

• Our interview process is designed to assess mutual fit across skills, motivation, and values. It typically includes the following steps:

• Screening call: A short conversation to align on your motivation, career goals, and initial fit for the role.

• Technical interview: A deep dive into your problem-solving and testing approach through a real-world QA challenge or case study.

• Onsite meeting (optional): You’ll meet engineers and cross-functional partners to explore collaboration and team dynamics.

• Final executive conversation: A discussion with a member of the executive team about impact, values, and long-term alignment.