About the role
We are seeking a highly skilled and motivated Senior DevOps Engineer to join our team. The ideal candidate will have 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.
Responsibilities:
- As a DevOps engineer responsible for systems being used by customers across the globe.
- Set the goals for the overall system and divide them into goals for the subsystem.
- Identify the performance bottleneck and come up with the solution to optimize the time and cost taken by the build/test system.
- Be a thought leader to contribute to the capacity planning for software/hardware, spanning internal and public cloud, and solve the trade-off between turnaround time and utilization.
Monitoring and 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.
- Support incident response using observability tools.
Platform / Portal Exposure (Good to Have):
- Gain working knowledge of Horizon/Platform portals used for infrastructure or operational visibility.
- Monitor and track infrastructure health and incidents using internal portals.
- Utilize portals for operational insights and incident management.
Requirements:
- Bachelor's degree in computer science, IT, or a related field (or equivalent hands-on experience).
- 5 years+ of experience in a DevOps/SRE/production support role.
- Good experience in OpenStack, Ceph, and Ansible.
- Excellent background in cloud technologies like OpenStack, Docker, Kubernetes, and Ansible.
- Excellent understanding of hybrid, multi-cloud architecture and edge computing concepts.
- An ability to identify the bottleneck and come up with a solution to optimize it.
- Excellent knowledge and working experience with Docker containers and virtual machines.
- Experience with monitoring tools like Grafana and Prometheus is good to have.
Preferred Qualifications:
- Experience with CI/CD pipelines integrated with Kubernetes.
- Exposure to container security, RBAC, and cluster hardening.
- Experience supporting high-availability on-prem infrastructure.