Senior Product Engineer - DevOps Engineer

Bengaluru 2 Years Exp Posted 376d ago

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 manifestsShould 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.