Senior Product Engineer - DevOps Engineer

What You'll Do:

• Experience with cloud technologies AWS, Azure or GCP
• Create container images and maintain container registries.
• Create, update, and maintain production grade applications on Kubernetes clusters and cloud. Inculcate GitOps approach to maintain deployments.
• Create YAML scripts, HELM charts for Kubernetes deployments as required.
• Take part in cloud design and architecture decisions and support lead architects build cloud agnostic applications.
• Create and maintain Infrastructure-as-code templates to automate cloud infrastructure deployment
• Create and manage CI/CD pipelines to automate containerized deployments to cloud and K8s.
• Maintain git repositories, establish proper branching strategy, and release management processes. Support and maintain source code management and build tools.
• Monitoring applications on cloud and Kubernetes using tools like ELK, Grafana, Prometheus etc.
• Automate day to day activities using scripting.
• Work closely with development team to implement new build processes and strategies to meet new product requirements.
• Troubleshooting, problem solving, root cause analysis, and documentation related to build, release, and deployments.
• Ensure that systems are secure and compliant with industry standards.

What You'll Bring

• A master s or bachelor s degree in computer science or related field from a top university.
• 2-4+ years of hands-on experience in DevOps
• Hands-on experience designing and deploying applications to cloud (Aws / Azure/ GCP)
• Expertise on deploying and maintaining applications on Kubernetes
• Technical expertise in release automation engineering, CI/CD or related roles.
• Hands on experience in writing Terraform templates as IaC, Helm charts, Kubernetes manifests Should have strong hold on Linux commands and script automation.
• Technical understanding of development tools, source control, and continuous integration build systems, e.g. Azure DevOps, Jenkins, Gitlab, TeamCity etc.
• Knowledge of deploying LLM models and toolchains
• Configuration management of various environments.
• Experience working in agile teams with short release cycles.
• Good to have programming experience in python / go.
• Characteristics of a forward thinker and self-starter that thrives on new challenges and adapts quickly to learning new knowledge.