Description
This role sits within a client's spec-driven SDLC platform , an agent-first system where the specification is the single source of truth and downstream artifacts are generated from it, not described by it.
Responsibilities:
- Re-architect the harness for headless, multi-tenant execution , durable orchestration, queued and scheduled runs
- Wire it into the E2E SDLC spine
- Integrate with TDM's two-lane architecture and the Repo Knowledge Plane
- Instrument telemetry, flake detection, and stability scoring that gate promotion
Requirements:
- Experienced software engineering, recent platform/backend work
- Demonstrated experience re-platforming an IDE-bound tool into a shared service , core to the role
- Strong Python and/or TypeScript; API design, event-driven orchestration
- Test automation depth , Gherkin/BDD, Playwright or Selenium, CI integration
- Agentic/LLM frameworks (LangGraph, CrewAI, Strands) with deterministic control around probabilistic components
- Kubernetes/OpenShift (ROSA a plus), Snowflake, AI gateway patterns
- LLM cost-awareness , token economics as a design constraint
Nice to Have:
- TDM or synthetic data pipeline ownership
- Brownfield sequencing experience
- Insurance domain experience
Benefits:
- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and inclusive work culture within a globally known group
- Private Health Insurance
- Retirement Benefits
- Paid Time Off
- Training & Development
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://jobs.workable.com/view/k1wzuwNNH7McpC24UBvMi5/hybrid-ai-qe%2Fsdet-engineer-in-los-angeles-at-capgemini