DevOps

Posted on August 12, 2025

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Job Description

  • DevOps
  • Location: Remote
  • Budget : 80k
  • Job Description?
  • 5+ years combined experience in DevOps, Data Engineering, or ML Ops roles.
  • Strong Terraform skills; ability to craft reusable modules and navigate complex state.
  • Production experience with at least one cloud provider (AWS, GCP, or Azure).
  • Proficiency in Python and containerization (Docker); familiarity with Kubernetes or serverless batch systems.
  • Hands-on knowledge of ML experiment platforms (MLflow, Kubeflow, Weights & Biases, or similar).
  • Experience with workflow execution frameworks (Kubeflow, Apache Airflow)
  • Understanding of modern data-versioning/feature-store concepts and tools.
  • Solid grasp of CI/CD principles, Git workflows, and infrastructure testing.
  • Excellent communication skills�capable of partnering with Data Scientists, Software Engineers, and Security teams.
  • Preferred (Nice-to-Have)
  • Experience with GPU orchestration (NVIDIA DGX, Karpenter, or Ray).
  • Familiarity with IaC security scanning (Checkov, tfsec).
  • Exposure to policy-as-code (OPA/Gatekeeper).
  • Prior work in real-time streaming (Kafka, Flink) and online feature serving.
  • Contributions to open-source ML Ops projects.

Required Skills

No specific skills listed.