# Software Engineer - SDLC Platform

**Company**: Capgemini
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Consulting
**Wikidata**: https://www.wikidata.org/wiki/Q1034621

**Apply**: https://jobs.workable.com/view/k1wzuwNNH7McpC24UBvMi5/hybrid-ai-qe%2Fsdet-engineer-in-los-angeles-at-capgemini?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2834a219-cc5

## 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

## Skills

### Required
- Python
- TypeScript
- API design
- event-driven orchestration
- Gherkin/BDD
- Playwright
- Selenium
- CI integration
- Agentic/LLM frameworks
- Kubernetes/OpenShift
- Snowflake
- AI gateway patterns

### Nice to have
- TDM or synthetic data pipeline ownership
- Brownfield sequencing experience
- Insurance domain experience

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Source: [Apply at jobs.workable.com](https://jobs.workable.com/view/k1wzuwNNH7McpC24UBvMi5/hybrid-ai-qe%2Fsdet-engineer-in-los-angeles-at-capgemini?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
