Senior Platform Engineer / MLOps / DevOps / Chicago

Chicago, IL, US • Posted 60+ days ago • Updated 9 hours ago
Full Time
On-site
$150000 - $250000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Startups
  • Lean Methodology
  • Machine Learning Operations (ML Ops)
  • Scratch
  • Management
  • Kubernetes
  • GitHub
  • Continuous Integration
  • Continuous Delivery
  • Apache Spark
  • Workflow
  • Machine Learning (ML)
  • Data Engineering
  • DevOps
  • Insurance
  • SAP BASIS

Summary

We're supporting a firm known for investing in industry game changers. They are not a startup but are intentionally lean. They look for entrepreneurial-minded engineers who can build from 0-1.

They're looking for an Engineer to join their ML team as a core infrastructure builder. You'll own the platform that supports their MLOps, setting up Kubernetes clusters, building Spark infrastructure from scratch, and designing reliable systems that serve models in production.

Applicants must currently be located in Chicago.

Required Skills & Experience
  • 7+ years of professional experience
  • Experience building and managing Kubernetes clusters
  • Using GitHub Actions for CI/CD Deployment
  • Building and maintaining Spark workflows
  • Supporting Machine Learning teams
What You Will Be Doing
Daily Responsibilities
  • 30% Data Engineering
  • 30% High Performance & Reliability
  • 40% DevOps & Platform Engineering

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 795747
  • Posted 30+ days ago
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