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Senior DevOps Data Engineer

Sd Solutions — Poland · Posted ~3 hours ago

Senior

Skills

DevOps Linux Kubernetes Containers Distributed systems Data systems Python Cloud platforms Data infrastructure GitOps Observability Apache Spark AWS

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Summary ✨ AI‑Generated

Build and operate scalable infrastructure for containerized data workloads running across batch and streaming environments. You will use Kubernetes and Linux, develop Python automation, improve observability and reliability, and optimize distributed data systems across cloud infrastructure.

Highlights

Build, operate, and scale containerized data infrastructure for distributed workloads. The role combines Kubernetes, Linux, GitOps, Python automation, reliability engineering, observability, and performance optimization across large-scale data systems.

Description

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 workloadsWrite automation and tooling in PythonImprove 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 KubernetesGood understanding of distributed and data systemsGood Python scripting experienceHands-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 workloadsExperience 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.