DevOps Engineer

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. 

Preferred Qualifications

• 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. 

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