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Capgemini InsuranceCore Business Functions

AI QE/SDET Engineer

Los Angelesonsitemid

Posted 2mo ago · via Workable

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About this role

About the Engagement 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. 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.…

Read the full description on Capgemini Insurance's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: typescript, python, snowflake

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Los Angeles. We weight your proximity and willingness to relocate.

Score yourself on this role.
Free · no card · written explanation included
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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

typescriptpythonsnowflake

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