QA Engineer, AI & Platform Infrastructure
ImmunityBio, Inc.
June 27, 2026
Remote friendly (California, United States)
United States
IT
Position Summary:
QA Engineer (hands-on) integrating test automation, software QA, and platform reliability engineering across backend, frontend, AI/ML, and DevOps. Act as SME for QA across the AI platform and web applications; ensure reliable, performant software delivery.
Essential Functions / Responsibilities:
- Design, maintain, and implement automated/manual test frameworks for backend APIs, frontend components, containerized services, and AI/LLM workflows.
- Build CI/CD-integrated QA pipelines (Docker Compose, Kubernetes).
- Perform performance/load testing for containerized and GPU-enabled applications; identify bottlenecks and reliability risks.
- Validate AI workflow correctness (LangChain, CrewAI orchestration, LlamaIndex processing).
- Develop internal testing tools/frameworks (TypeScript, Python, or Bun) to improve reliability and velocity.
- Reproduce, isolate, and report defects; drive rapid resolution.
- Define quality standards and test plans with cross-functional SMEs.
- Maintain QA documentation (test plans, cases, defect reports, quality metrics dashboards).
- Lead integration, regression, and acceptance testing.
- Mentor engineers; create/maintain SOPs and templates; perform related ad-hoc projects.
Qualifications:
- Bachelor’s degree in computer science/Software Engineering or related (required).
- 3+ years QA or test automation (required).
- Docker, Docker Compose, Kubernetes (required).
- Python and TypeScript test/automation (required).
- React/Next.js/Svelte and Playwright or Cypress (required).
- CI/CD workflows (GitHub Actions, Jenkins, or similar) (required).
- Preferred: LangChain, CrewAI, or LlamaIndex; performance testing/benchmarking AI apps.
Skills:
- Strong technical writing/communication/organization; test automation knowledge.
- API testing frameworks (e.g., Pytest, Postman, REST Assured).
- Observability tools (Prometheus, Grafana, OpenTelemetry).
- Analytical problem-solving for async/distributed systems; influence quality standards.
Benefits/Compensation (if eligible):
- Discretionary bonus and equity.
- Base pay range: $130,500–$145,000 (National) or $135,000–$150,000 (Premium markets).
- Medical, dental, vision; wellness programs; EAP; life/AD&D and disability; FSAs; 401(k) match; 529; PTO (incl. 11 holidays; unlimited PTO for exempt or vacation/health/personal days for non-exempt).
Application:
- Window anticipated to close 60 days from posting or sooner if filled/closed.
QA Engineer (hands-on) integrating test automation, software QA, and platform reliability engineering across backend, frontend, AI/ML, and DevOps. Act as SME for QA across the AI platform and web applications; ensure reliable, performant software delivery.
Essential Functions / Responsibilities:
- Design, maintain, and implement automated/manual test frameworks for backend APIs, frontend components, containerized services, and AI/LLM workflows.
- Build CI/CD-integrated QA pipelines (Docker Compose, Kubernetes).
- Perform performance/load testing for containerized and GPU-enabled applications; identify bottlenecks and reliability risks.
- Validate AI workflow correctness (LangChain, CrewAI orchestration, LlamaIndex processing).
- Develop internal testing tools/frameworks (TypeScript, Python, or Bun) to improve reliability and velocity.
- Reproduce, isolate, and report defects; drive rapid resolution.
- Define quality standards and test plans with cross-functional SMEs.
- Maintain QA documentation (test plans, cases, defect reports, quality metrics dashboards).
- Lead integration, regression, and acceptance testing.
- Mentor engineers; create/maintain SOPs and templates; perform related ad-hoc projects.
Qualifications:
- Bachelor’s degree in computer science/Software Engineering or related (required).
- 3+ years QA or test automation (required).
- Docker, Docker Compose, Kubernetes (required).
- Python and TypeScript test/automation (required).
- React/Next.js/Svelte and Playwright or Cypress (required).
- CI/CD workflows (GitHub Actions, Jenkins, or similar) (required).
- Preferred: LangChain, CrewAI, or LlamaIndex; performance testing/benchmarking AI apps.
Skills:
- Strong technical writing/communication/organization; test automation knowledge.
- API testing frameworks (e.g., Pytest, Postman, REST Assured).
- Observability tools (Prometheus, Grafana, OpenTelemetry).
- Analytical problem-solving for async/distributed systems; influence quality standards.
Benefits/Compensation (if eligible):
- Discretionary bonus and equity.
- Base pay range: $130,500–$145,000 (National) or $135,000–$150,000 (Premium markets).
- Medical, dental, vision; wellness programs; EAP; life/AD&D and disability; FSAs; 401(k) match; 529; PTO (incl. 11 holidays; unlimited PTO for exempt or vacation/health/personal days for non-exempt).
Application:
- Window anticipated to close 60 days from posting or sooner if filled/closed.