Quality Engineer
Core
Design and execute testing strategies for complex, distributed, GPU-intensive AI systems in pharmaceutical R&D, ensuring reliability, security, and performance.
Role type
Senior Quality Engineer (AI/ML Infrastructure)
Builds
Apheris Gateway for federated data networks and Apheris Foundry for local AI drug discovery workflows
Domain
Life Sciences / AI / Federated Learning
Deliverable
production ML models
Required skills
Test automation (Python), CI/CD pipelines, Non-functional testing, Containerization (Docker/Kubernetes), UNIX/Linux, Git
Preferred skills
Testing frameworks (Playwright, Pytest, Pact), Go, Vue.js, Cloud providers (AWS/Azure/GCP), Infrastructure-as-code (Terraform), Software Security (OWASP)
Technologies
Python, Bash, Docker, Kubernetes, Git, Playwright, Pytest, Pact, REST Assured, Selenium, Cypress, AWS, Azure, GCP, K3s, Terraform, Flux
Responsibilities
Design and maintain automated test suites; Define and enforce quality gates in CI/CD pipelines; Write Pipelines as Code; Coordinate release campaigns; Facilitate root cause analysis; Coach developers on testability and observability
Seniority
Senior, hands-on IC
