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Senior DevOps Engineer

As a Senior DevOps Engineer, you will work as part of a dedicated DevOps team designing, maintaining, and enhancing cloud-native infrastructure that supports data science workloads. You’ll collaborate with multiple development teams with deploying and maintaining time-series forecasting and generative AI applications. The role focuses on building reliable, secure, and observable platform in GCP using Kubernetes, IaC, and automated CI/CD pipelines.

What will be your key responsibilities:

  • Working in a distributed DevOps team across multiple locations using agile practices
  • Supporting the design and operation of core infrastructure on GCP for data science and Python-based ML/AI workloads
  • Maintaining and improving Kubernetes environments with Helm and ArgoCD
  • Developing and reviewing Terraform modules and cloud configurations
  • Managing GitLab CI/CD pipelines across applications, infrastructure, and ML projects
  • Implementing and optimizing autoscaling strategies for workloads and clusters
  • Ensuring robust observability across monitoring, logging, and tracing using Grafana, Prometheus, Loki, and Tempo
  • Troubleshooting issues across cloud, container, networking, and application layers
  • Enhancing platform reliability, cost efficiency, and developer experience
  • Educating developers and data scientists on best practices and relevant parts of the technology stack

What experience should you have:

  • Fluent English; German is a plus
  • Minimum 4 years of professional experience in DevOps or related roles
  • Bachelor's degree in computer science, Information Technology, or a related field
  • Strong expertise with at least one major cloud provider (GCP preferred; AWS/Azure acceptable)
  • Experience in any public cloud (GCP, AWS, Azure) - GCP is preferred
  • Extensive experience with Docker, Kubernetes, Helm charts, and container-based production systems
  • Understanding basic security concepts and helping to identify and mitigate common vulnerabilities
  • Solid hands-on proficiency with Terraform, Helm and GitOps tools such as ArgoCD
  • Strong experience building and maintaining CI/CD pipelines, ideally with GitLab CI
  • Proficiency in Unix/Linux administration, shell scripting, and practical networking fundamentals
  • Experience with monitoring and observability solutions (Grafana stack; ELK also relevant)
  • Familiarity with autoscaling concepts (HPA/VPA, KEDA, cluster autoscaler)
  • Experience with relational and document databases, such as PostgreSQL and MongoDB, is a plus

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