DevOps Engineer
Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Oct 6, 2026. Capgemini scores B on the Alion truth index.
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Job Description
Your Role:
We are seeking a skilled, customer-focused Support Engineer to join our team. This role involves providing operational and troubleshooting support for our Kubernetes-based platform services, including Port.io, and CI/CD DevSecOps framework called Argo. The ideal candidate will have a deep understanding of container orchestration, cloud-native application deployments using DevSecOps frameworks, and troubleshooting distributed systems. As a Support Engineer, you will work closely with developers, operations teams, and clients to ensure the stability, performance, and reliability of our platform services.
- 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.
Your Profile:
- 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.
- Problem-solving mindset with a proactive approach to identifying and resolving issues.
- Ability to work collaboratively in a team and communicate effectively across technical and non-technical audiences.
- Strong organizational skills with the ability to manage multiple tasks and priorities.
- Excellent communication skills and a customer-first attitude.
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Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.