обновлено 19 дней назад
Senior DevOps Data Engineer (AdTech)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior DevOps Data Engineer (Kubernetes, Python, Spark): Building, operating, and scaling containerized data infrastructure across batch and streaming workloads with an accent on Kubernetes, Linux, automation, and distributed systems reliability. Focus on improving observability and performance, maintaining reliable data pipelines, and managing cloud-based CI/CD and GitOps deployments.
Location: Tbilisi, Georgia — remote from any location
Company
is a global staffing company representing a large-scale advertising technology client that builds audience intelligence and campaign automation tools for brands, agencies, and publishers.
What you will do
- Build, operate, and scale containerized data infrastructure on Kubernetes and Linux-based systems.
- Run batch and streaming workloads using data processing engines such as Spark.
- Write automation and infrastructure tooling in Python.
- Improve reliability, observability, and performance across distributed systems.
- Support platforms that process large volumes of data for programmatic advertising decisions.
Requirements
- 5+ years of experience as a DevOps Engineer in production Linux environments.
- Hands-on experience with containers and Kubernetes.
- Good understanding of distributed systems and data systems.
- Good Python scripting experience.
- Hands-on experience with at least one cloud platform; AWS is preferred.
- Experience with version control and CI/CD tools such as GitLab or GitHub, plus strong English communication skills.
Nice to have
- Experience with data warehouses, data lakes, and Hadoop, Spark, Flink, or Trino.
- Experience with GitOps tools such as ArgoCD or Flux.
- Experience administering Redis, Elasticsearch, or MongoDB.
- Previous experience as a data engineer or software engineer with an infrastructure background.
Culture & Benefits
- Full-time position with a global staffing company.
- Remote work from any location.
- Additional benefits are provided by ; details are available during the application process.
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