About the role
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:
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:
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
Advantages:
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
About the company:
A large-scale advertising technology company building audience intelligence and campaign automation tools for brands, agencies, and publishers across multiple digital channels. The platform processes vast data volumes to enable programmatic decisions and measurable business outcomes at a global level.
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Originally posted on Himalayas