Staff Software Engineer In Test (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Software Engineer in Test (AI): Building and leading automated integration testing for distributed oncology genomic profiling systems, with an accent on contract-first validation, event-driven architectures, and AI-native test automation. Focus on designing end-to-end order-to-report workflows, analyzing complex system failures with LLM-powered tooling, and validating resilience across interconnected microservices.
Location: US Remote; candidates must be based in the United States.
Company
develops personalized genetic testing and cell-free DNA diagnostics for oncology, women’s health, and organ health.
What you will do
- Architect and deploy automated integration testing frameworks for complex, multi-component service environments.
- Validate OpenAPI/Swagger specifications, Avro schemas, REST/gRPC endpoints, Kafka events, webhooks, and database states.
- Build high-fidelity tests spanning at least three systems across the order-to-report workflow.
- Integrate LLMs and generative AI into test generation, log analysis, anomaly detection, and CI/CD optimization.
- Lead cross-functional quality alignment across Engineering, R&D, Commercial, and Clinical teams through technical influence.
- Introduce chaos engineering experiments and mentor Senior Software Quality Engineers and Software Engineers in Test.
Requirements
- 12+ years of software development or test automation experience, including at least 5 years in a senior or lead capacity.
- Expert programming skills in Java, Python, or Go, with hands-on experience using Playwright.
- Strong experience testing microservices, REST/gRPC APIs, event-driven systems, Kafka, or AWS SQS/SNS.
- Practical expertise with Docker, Kubernetes, and AWS services including S3, Lambda, and CloudWatch.
- Experience in a quality-critical regulated domain such as HealthTech, MedTech, or FinTech.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a quantitative discipline.
Nice to have
- Knowledge of FDA design controls, IEC 62304, or HIPAA standards.
- Experience with oncology, laboratory, clinical, or genetic testing systems.
Culture & Benefits
- Employee medical, dental, vision, life, and disability benefits for eligible employees and dependents.
- Free testing for employees and immediate family members, plus fertility care benefits.
- Pregnancy and baby bonding leave, 401(k) benefits, commuter benefits, and an employee referral program.
- Mission-driven work focused on improving personalized diagnostics and disease management.
- Collaborative environment spanning statisticians, geneticists, physicians, laboratory scientists, software engineers, and business professionals.
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