Expert Software Engineer – AI DevOps

mid

Posted today · via Workday

About this role

Number of Positions In Requisition 0 Job Details The Expert Software Engineer is responsible for managing cloud infrastructure, deployment automation, testing frameworks, observability, security controls, and release management across AI-enabled application environments. The AI Expert DevOps Engineer will own the platform engineering foundation behind Jefferson's Azure-hosted AI Factory — enabling faster, safer, and more reliable delivery of AI-generated and AI-assisted applications at enterprise scale. Job Description Summary The Expert Software Engineer is responsible for managing cloud infrastructure, deployment automation, testing frameworks, observability, security controls, and release management across AI-enabled application environments.…

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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, java, c#, sql…

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 a specific location. We weight your proximity and willingness to relocate.

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Skills in this role

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

typescriptpythonjavac#sqllessgrpcawsazuregcpcloudformationkubernetesdockerterraformsplunkprometheuselkteams

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