Deployment Engineer job opportunity at GE Vernova.

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DateMore Than 30 Days Ago bot
GE Vernova Deployment Engineer
Experience: 8-years
Pattern: full-time
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loacation Hyderabad, India
loacation Hyderabad....India

Job Description Summary The DevOps/Deployment Engineer will be responsible to build , maintain CI/CD pipelines , automate build, test, configuration management and deployment workflows across dev, test, staging, and production environments. Work with Azure cloud using Kubernetes, Docker, Helm, Terraform for deployment. The ideal candidate will enable continuous delivery, deployment, Set up, configure, validate environments to support system and performance testing. Job Description Essential Responsibilities Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, Azure DevOps, or GitHub Actions. Automate build, test, configuration management, and deployment workflows across dev, test, staging, and production environments. Understand and adapt to the organization’s proprietary operating system, ensuring seamless deployment of applications through Kubernetes on top of it. Deployment and management of applications on Azure Cloud using Kubernetes, Docker, Helm, and Terraform. Manage and optimize Kubernetes clusters, ensuring scalability, resource efficiency, secrets management, and robust monitoring. Define and enforce best practices for cloud resource utilization, cost optimization, and deployment reliability. Set up, configure, and validate test and deployment environments, maintaining consistency across platforms. Support system testing and performance validation, identifying and resolving bottlenecks to enhance scalability and stability. Develop and integrate automation frameworks for continuous testing and deployment. Integrate code quality and coverage tools (e.g., SonarQube, Coverity) into CI pipelines. Implement and manage monitoring and alerting systems (e.g., Prometheus, Grafana, Azure Monitor). Collaborate with development, QA, and security teams to ensure smooth and secure DevSecOps processes. Document the work to turn findings into repeatable actions Qualifications/Requirements Master’s degree in computer science with high-level proficiency in software Development, DevOps and Deployment tools and processes. 7-8 years of hands-on experience. Strong understanding of application scalability, performance tuning, and monitoring in production systems. Proficiency with tools (like Jenkins), Test management tools (e.g. JIRA with Xray – Plugin), GIT etc. Hands on experience in Kubernetes (cluster management, scaling, service mesh, Helm charts) Hands on experience on cloud deployment and cloud services with Azure, Kubernetes, helm/terraforms, Docker Strong experience of working on Linux system Exposure to integration of code coverage tools Sonar Cube, Coverity etc. Exposure to Designing and implementing automation tools and frameworks for continuous integration, delivery, and deployment Experience in Agile & Scrum environment Ethical and professional business manner in interaction with team members and customers. Customer-focused; open to accept new challenges and share ideas. Quick learning skills Willingness and ability to work across time zones to interact with global multi-cultural teams. Desired Characteristics Knowledge in IT integration (network configuration, security configuration) Familiarity with Next Gen Configuration tools DEvOps. CI/CD pipeline tools and frameworks Knowledge in test automation tools (Protractor, Cypress etc.) and scripting tools (e.g. Python) Experience to build test platforms (Physical/Virtual) for different Next Gen Configuration tools SW deployment architectures. Familiarity with production monitoring systems Technical Stack Tools Docker Kubernetes Artifactory Git Environment Istio Service Mesh Postgres / pgpool Grafana / Prometheus Argo CD / Flux CD Platform & Infra Linux (Debian / Ubuntu / Red Hat) Azure / AWS Additional Information Relocation Assistance Provided: No

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