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JetbrainsML Workflow Engineering

Senior MLOps Engineer (ML Workflows Engineering)

AmsterdamRemote (US)senior

via Greenhouse

About this role

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.…

Read the full description on Jetbrains'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: python, java, aws, gcp, kubernetes…

2

Level fit

This role is senior-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 remote-eligible — we factor in your stated location and time-zone overlap.

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Skills in this role

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

pythonjavaawsgcpkubernetesgithub actionsdagstermlflowgithubteams

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