SD Solutions

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Quick Summary

Key Responsibilities

Build, operate, and scale containerized data infrastructure on Kubernetes and/or Linux-based systems, including engines like Spark,

Requirements Summary

5+ years of experience as a DevOps Engineer, working in a production Linux environment.

Technical Tools

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On behalf of AdTech Client #1, SD Solutions is looking for a talented Senior DevOps Data Engineer to build, operate, and scale the platforms behind our data systems—running containerized workloads on Kubernetes, managing GitOps-based deployments, and keeping data pipelines reliable at scale.

SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.

Responsibilities

~1 min read

→Build, operate, and scale containerized data infrastructure on Kubernetes and/or Linux-based systems, including engines like Spark, across batch and streaming workloads
→Write automation and tooling in Python
→Improve reliability, observability, and performance across distributed systems

Requirements

~1 min read

5+ years of experience as a DevOps Engineer, working in a production Linux environment.
Hands-on experience with containers and Kubernetes
Good understanding of distributed and data systems
Good Python scripting experience
Hands-on with at least one cloud platform (AWS preferred)
Experience with a version control and CI/CD tool (e.g., GitLab or GitHub)
Strong English communication skills, team player, independent

Exposure to data warehouses/data lakes and processing frameworks (Hadoop, Spark, Flink, Trino) across batch and/or stream workloads
Experience with GitOps tooling (ArgoCD / Flux)
Experience administering at least one NoSQL database (Redis, Elasticsearch, or MongoDB)
Previous experience as a data engineer or software engineer with an infrastructure background