Main Responsibilities and Deliverables:
- Define, develop, and implement continuous integration and secure deployment pipelines with automated quality and release gates.
- Architect and maintain Pipelines to deploy highly available, auto scaling containerised deployments on Kubernetes
- Coordinate build and release activities with other stakeholders
- Proactively design and implement automation frameworks to avoid manual toil
- Identify, research and prototype new technologies to improve existing processes
- Collaborate with various teams and disciplines to promote and develop DevOps best practices Optimize cost, system performance, availability and scalability of our Infrastructure
- Participate in on-call duties to support DevOps schedules and Product releases
- Create and maintain documentation on configuration, troubleshooting, design, etc. Tools 1. Must have (strong hands-on experience)
- Kubernetes and Docker
- AWS
- Python, Shell
- Jenkins
- Terraform
- Linux 2. Good to have
- Monitoring tools - Grafana and Prometheus
- DataDog
- ELK Stack
- Knowledge on database systems Qualifications / Education:
- 2+ years of Kubernetes experience
- 3+ years writing Python, Shell
- 2+ years on AWS Cloud
- Solid understanding of code promotion techniques, build automation, branching strategies.
- Excellent troubleshooting, problem solving, and debugging skills
- Ability to build environments, systems, and solutions from the ground up
- Excellent communication skills and a team player
- Degree in computer science or equivalent from a reputed institute
Notice Period Less Than 30 days