Data Platform DevOps Engineer
RemoteHungary
Job Summary
Design and maintain CI/CD pipelines for data pipeline deployments using GitHub Actions, Jenkins, or GitLab CI. Author and manage Infrastructure-as-Code (IaC) using Terraform and Helm for lakehouse components while managing Kubernetes clusters for orchestration workloads. Implement platform observability with logging, metrics, and alerting using Prometheus, Grafana, and OpenTelemetry. Automate environment provisioning for development, staging, and production data platform environments. Collaborate with data engineering and security teams to enforce policy-as-code and configuration standards. Manage cloud cost optimization strategies including spot instance usage, auto-scaling, and resource rightsizing. Develop runbooks, SOP documentation, and on-call playbooks for platform operations. Drive SLA compliance through proactive capacity planning and incident response.
Required Qualifications
- 5+ years in DevOps, platform engineering, or SRE roles
- Strong proficiency with Terraform, Helm, and Kubernetes (EKS, AKS, or GKE)
- Experience with CI/CD platforms: GitHub Actions, Jenkins, GitLab CI/CD, or ArgoCD
- Hands-on experience deploying and managing data platforms on AWS, Azure, or GCP
- Proficiency in scripting: Bash, Python, or Go for automation
- Experience with container orchestration, Docker, and microservices deployment patterns
- Knowledge of monitoring and observability tools: HoneyComb, Grafana, ELK stack, Datadog
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- Currently based in Hungary
- Have the legal right to live and work in Hungary
Desired Qualifications
- Experience with Databricks Terraform provider or Snowflake deployment automation
- Knowledge of GitOps workflows with ArgoCD or Flux
- Certifications: CKA (Certified Kubernetes Administrator), AWS DevOps Professional, HashiCorp Terraform
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