Coredge - Senior DevOps Engineer - Kubernetes

About the Role :

We are seeking a highly skilled and motivated Senior DevOps Engineer to join our team. The ideal candidate will have 4 - 5 years of DevOps experience with a strong focus on on-premises or self-managed Kubernetes environments.

This role involves deploying, operating, monitoring, and troubleshooting Kubernetes clusters and Linux infrastructure to ensure high availability, reliability, and performance of production systems.

Key Requirements :

• Bachelor's degree in computer science, IT, or a related field (or equivalent hands-on experience).

• 4 - 5 years of experience in a DevOps / SRE / Production Support role.

• Strong expertise in Linux system administration.

• Hands-on experience with on-prem, self-managed, or unmanaged Kubernetes clusters.

• Proven ability to deploy, debug, and troubleshoot Kubernetes environments.

• Strong experience with Prometheus and Grafana.

• Mandatory exposure to ARGO CD / ARGO Workflows.

• Experience with automation and scripting (Shell, Python, Ansible).

• Ability to handle production incidents independently.

• Excellent troubleshooting, analytical, and communication skills.

Key Responsibilities :1. Linux Administration :

• Administer and support Linux-based systems in production environments.

• Deploy, manage, and troubleshoot applications running on Linux.

• Perform root cause analysis for OS-level issues to maintain high availability and performance.

• Ensure system stability, security hardening, and performance tuning.

2. Kubernetes (On-Prem / Self-Managed) - Must Have :

• Deploy, configure, and maintain on-premises or self-managed Kubernetes clusters (bare metal or VM-based).

• Troubleshoot Kubernetes issues related to pod scheduling, networking, storage, cluster components, and service failures.

• Debug containerized workloads and ensure reliable rollout.

3. Monitoring & Observability - Must Have :

• Implement and maintain Prometheus and Grafana for infrastructure and application monitoring.

• Create and manage real-time Grafana dashboards for cluster health, application metrics, and alerts.

• Analyze monitoring data to proactively identify and resolve performance and reliability issues.

4. Automation & CronJobs :

• Configure and manage Kubernetes CronJobs and Linux-based scheduled tasks.

• Improve operational efficiency through scripting and automation using Shell, Python, or Ansible.

5. Platform / Portal Exposure (Good to Have) :

• Gain working knowledge of Horizon / platform portals used for infrastructure or operational visibility.

6. Cloud Awareness (Limited / Supporting Role) :

• Understand basic cloud computing concepts and architectures.

• Note: This role is primarily focused on on-prem Kubernetes, not public cloud operations.