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.