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Responsibilities:

  • Build, operate, and scale containerized data infrastructure on Kubernetes and Linux-based systems.
  • Write automation and tooling in Python.
  • Improve reliability, observability, and performance across distributed systems.

Requirements:

  • 5+ years of experience as a DevOps Engineer in a production Linux environment.
  • Hands-on experience with containers and Kubernetes.
  • Good Python scripting and cloud platform experience (AWS preferred).

Advantages:

  • Exposure to data warehouses and processing frameworks like Spark, Flink, Trino.
  • Experience with GitOps tooling (ArgoCD/Flux).
  • Experience administering NoSQL databases (Redis, Elasticsearch, MongoDB).

About the Company:

  • A large-scale advertising technology company building audience intelligence and campaign automation tools.
  • The platform processes vast data volumes to enable programmatic decisions globally.

SD Solutions

SD Solutions is a global staffing company that connects professionals with top adtech firms. The company culture emphasizes reliability, collaboration, and independent work in a fast-paced environment.

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