About the EngagementThis 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. The platform spans Requirements authoring, Test Data Management, CodeGen, and the QE test harness on a common foundation, built on three pillars: agent-first, input-flexible, and deterministic. Deployed on ROSA with Snowflake as the data platform and Portkey as the AI gateway.
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
BenefitsThis position comes with competitive compensation and benefits package:
- 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
- *Note: Benefits differ based on employee level
