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.…
What we'd score you on
reqspace match rubricFive 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.
Score yourself on this role.
Free · no card · written explanation included
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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