Quality Engineer (AI)

Location: Remote, with working hours within UTC +/- 2 hrs. Office days are held at the Berlin headquarters or another European location three times a year.

Compensation: Industry-competitive compensation, including early-stage virtual share options.

Company

hirify.global builds federated data networks and AI-powered drug discovery applications for pharmaceutical and life sciences organizations, enabling secure collaboration on proprietary datasets.

What you will do

• Champion quality engineering, quality-by-design, testability, observability, and robust engineering practices across the software development lifecycle.
• Design test strategies and conduct testing sessions for complex features, identifying risks and defects early.
• Design, implement, and maintain automated test suites across multiple test levels, and coach developers on automated testing.
• Contribute to testing frameworks and implement Pipelines as Code with automated quality gates in CI/CD.
• Support DevOps practices, shorten feedback loops, and coordinate release campaigns across products.
• Facilitate bug grooming and root-cause analysis so defect incidents improve engineering practices.

Requirements

• 5+ years of relevant experience, or a Bachelor’s, Master’s, or PhD in Computer Science or a related field plus 3+ years of relevant experience.
• Development and/or test automation experience, preferably with Python; other object-oriented languages are valued.
• Ability to write scripts for routine automation using Python, Bash, or another scripting language.
• Experience with non-functional testing, including performance, reliability, and fault tolerance.
• Knowledge of CI/CD and DevOps, with hands-on experience creating or maintaining Pipelines as Code.
• Knowledge of Docker containerization and Kubernetes orchestration concepts.
• Proficiency in UNIX/Linux, Git, and Git workflows.
• Fluent English, verbal and written, with strong communication skills and confidence taking ownership of problems.
• Genuine interest in cutting-edge technology, continuous learning, and working in a fast-paced early-stage startup.

Nice to have

• Exposure to the life sciences domain.
• Experience with testing frameworks such as Playwright, Pytest, Pact, REST Assured, Selenium, Cypress, or similar tools.
• Experience with Go and/or Vue.
• Knowledge of cloud providers such as AWS, Azure, GCP, or OpenStack, and on-premise setups such as locally hosted Kubernetes via K3s.
• Knowledge of software security, including OWASP.
• Knowledge of infrastructure-as-code tools such as GitOps, Terraform, or Flux.

Culture & Benefits

• Remote-first work from home or a nearby coworking space, within the stated UTC +/- 2 hrs working-hours requirement.
• Wellbeing, mental health, work-from-home, coworking, and learning and development budgets.
• Generous holiday allowance.
• Office days at the Berlin headquarters or another European location three times per year.
• Diverse, mission-driven team focused on responsible use of AI and machine learning in life sciences.