As a Senior DevOps Engineer - Data Platform & Kubernetes at Siemens, you will play a crucial role in supporting the deployment, operation, and automation of data workloads and platform components running in Kubernetes-based environments across cloud and hybrid infrastructure. Your contributions will include:
Operating and improving Kubernetes-based data workloads and services
Managing deployments using GitOps workflows (ArgoCD)
Maintaining Helm-based deployment templates and Kubernetes configurations
Supporting CI/CD pipelines and repository management in GitLab
Monitoring platform health using Prometheus, Grafana, and alerting systems
Supporting API deployments and integrations including OIDC authentication via Keycloak
Supporting API gateway deployments (e.g. Envoy Gateway) for internal and customer-facing services
Supporting data platform components such as Kafka-based pipelines and analytical query engines
Automating infrastructure and operational processes across cloud and hybrid environments
Proactively identifying platform improvements and reliability risks
Qualifications required for this role include:
Bachelors or Masters degree in Computer Science or a comparable qualification
6-8 years of experience working as a DevOps Engineer or Platform Engineer
Strong hands-on experience with Kubernetes in production environments
Experience with Helm and Kubernetes templating
Experience with GitOps deployment models (ArgoCD preferred)
Experience with CI/CD pipelines and GitLab
Experience with monitoring and observability tools (Prometheus, Grafana)
Experience working with Linux-based environments
Strong analytical and troubleshooting skills
Strong ownership mindset and proactive working style
Ability to independently identify problems and drive solutions
Fluent English communication skills
Nice to have skills include experience with data platform technologies such as Kafka, Trino, or Apache Pinot, multi-tenant Kubernetes deployments (vCluster), API gateways (Envoy or similar), OIDC/OAuth authentication and Keycloak integration, Infrastructure as Code (Terraform), and AWS networking concepts (VPC, Subnets, Load Balancers). Your success in this role will be grounded in 6-8 years of experience, great communication skills, analytical, and problem-solving skills. Siemens values your unique identity and perspective and is committed to providing equitable opportunities. This role is based in Pune, offering you the chance to work with diverse teams and impact the future. Siemens is a global company with over 312,000 employees in over 200 countries, dedicated to equality and diversity in the workplace. If you are looking to shape tomorrow and contribute to building a better future, join Siemens and be yourself. To know more about Siemens careers, visit www.siemens.com/careers and learn about mobility at https://new.siemens.com/global/en/products/mobility.html. As a Senior DevOps Engineer - Data Platform & Kubernetes at Siemens, you will play a crucial role in supporting the deployment, operation, and automation of data workloads and platform components running in Kubernetes-based environments across cloud and hybrid infrastructure. Your contributions will include:
Operating and improving Kubernetes-based data workloads and services
Managing deployments using GitOps workflows (ArgoCD)
Maintaining Helm-based deployment templates and Kubernetes configurations
Supporting CI/CD pipelines and repository management in GitLab
Monitoring platform health using Prometheus, Grafana, and alerting systems
Supporting API deployments and integrations including OIDC authentication via Keycloak
Supporting API gateway deployments (e.g. Envoy Gateway) for internal and customer-facing services
