DevOps Engineer

Capgemini is a global business and technology transformation partner helping organizations accelerate digital and sustainable transformation. The DevOps Engineer will provide operational and troubleshooting support for Kubernetes-based platform services, CI/CD DevSecOps frameworks, and cloud-native deployments while ensuring platform stability, performance, and reliability.

Responsibilities:

• Provide technical support for Kubernetes clusters, Port.io platform services, Argo DevSecOps platform, and resolving customer issues and ensuring system reliability
• Monitor the health and performance of Kubernetes clusters, Port.io, and Medtronic’s Argo environments using tools like Dynatrace, Prometheus, Grafana, and Kibana
• Investigate and troubleshoot issues related to networking, storage, security, and application deployments within Kubernetes
• Collaborate with development and operations teams to improve platform stability and automate routine maintenance tasks
• Help troubleshoot container images from teams experiencing challenges getting their containers to run correctly
• Manage and optimize Helm charts, Argo CD, Flux CD, YAML configurations, and other deployment artifacts
• Using, configuring, and maintaining GitLab CI runners
• Develop and maintain documentation for support processes, troubleshooting guides, and best practices
• Ensure timely resolution of incidents and communicate status updates to stakeholders
• Participate in an on-call rotation to provide 24/7 support coverage

Requirements:

• Proven experience in managing and supporting Kubernetes clusters in production cloud and on-prem environments
• Familiarity with Port.io (or similar platform services) and cloud-native technologies
• Strong understanding of containerization technologies such as Docker
• Proficiency in writing and debugging Helm charts and Kubernetes manifests
• Knowledge of CI/CD pipelines and deployment automation tools like Jenkins, ArgoCD, and GitLab CI
• Experience with monitoring and logging tools like Dynatrace, Prometheus, Grafana, Kibana, or ELK stack
• Strong troubleshooting skills in networking, Linux systems, and distributed systems
• Familiarity with scripting languages (e.g., Bash, Python) for automation
• Experience with cloud platforms such as AWS or Azure
• Certification in Kubernetes (e.g., Certified Kubernetes Administrator - CKA)
• Knowledge of security best practices in Kubernetes environments
• Experience with VMWare environments