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 Developing and reviewing Terraform modules and cloud configurations Implementing and optimizing autoscaling strategies for workloads and clusters Troubleshooting issues across cloud, container, networking, and application layers 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) 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 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, cluster autoscaler) Experience with relational and document databases, such as PostgreSQL and MongoDB, is a plus DTSE-RO is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decision at DTSE-RO are based on business needs, job requirements and individual qualifications, with no regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation and gender identity. DTSE-RO will not tolerate discrimination or harassment based on any of these characteristics.
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