Senior DevOps Data Engineer (AdTech)

TL;DR

Senior DevOps Data Engineer (AdTech): Building, operating, and scaling containerized data infrastructure with an accent on Kubernetes, GitOps-based deployments, and reliable data pipelines. Focus on improving system observability, performance, and automating distributed data processing workloads.

Location: Remote (Global)

Company

A large-scale advertising technology company building audience intelligence and campaign automation tools for global digital channels.

What you will do

• Build, operate, and scale containerized data infrastructure on Kubernetes and Linux.
• Manage batch and streaming workloads using engines like Spark.
• Develop automation and tooling using Python.
• Enhance reliability, observability, and performance across distributed systems.
• Implement and maintain GitOps-based deployment workflows.

Requirements

• 5+ years of experience as a DevOps Engineer in production Linux environments.
• Hands-on experience with containers and Kubernetes.
• Strong understanding of distributed and data systems.
• Proficiency in Python scripting.
• Experience with at least one cloud platform, preferably AWS.
• Strong English communication skills.

Nice to have

• Experience with data warehouses and processing frameworks like Hadoop, Spark, Flink, or Trino.
• Familiarity with GitOps tooling such as ArgoCD or Flux.
• Experience administering NoSQL databases like Redis, Elasticsearch, or MongoDB.
• Background in data engineering or software engineering.

Culture & Benefits

• Global remote work environment.
• Opportunity to work on high-load data systems in the AdTech industry.
• Professional growth within a large-scale technology platform.