DevOps Engineer (Application Deployment & Configuration - K8S)
At a glance
Mid-level DevOps & Release role at Bosch Group. Bangalore · full-time.
Pay not stated DevOps Engineer salary
devopsroles summary, based on the employer's posting.
What you'll do
- Review current deployment standards and processes, then identify and implement improvements
- Prepare software releases by checking tools, connectivity, access, dependencies and packages against deployment guidelines
- Automate Kubernetes deployments for manufacturing applications, including their services and databases
- Deploy applications to quality and production environments while protecting manufacturing operations
- Improve release pipelines with DevOps or GitOps practices, and prepare documentation and handover materials
What you bring
- At least three years of hands-on DevOps or Kubernetes deployment and operations experience in a medium-to-large enterprise environment
- A BE, B.Tech, M.Tech or MCA qualification
- Experience across the software lifecycle, from development and packaging through release and deployment
- Working knowledge of Kubernetes rollout patterns, DevOps or GitOps automation, and at least one of Python, Java or Go
Who this fits
This mid-level role suits someone with hands-on enterprise Kubernetes deployment experience who can own releases through production. You’ll work on-site in Bangalore and coordinate with teams across Germany, India and Vietnam.
From the employer
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
Roles & Responsibilities :
Analyze existing automated deployment standards, process and/or governance to identity and implement improvements.
Coordinate and responsible for the evaluation and preparation for software deployments (Tools, Connectives, Access, Dependencies and released packages) based on deployment guidelines.
Provide the automated deployment for manufacturing applications in Kubernetes (K8S) environment with all necessary components such as App relation services (Kafka, Solace, …), Database (Oracle, Mongo, PostgreSQL…).
Responsible for deployment manufacturing applications to Quality and Production environments. Ensure no impact to Manufacturing business and processes while apply/implement change.
Apply DevOps and/or GitOps solutions and best-practices to automate and improve release process, template, and pipeline toward to Industrialized rollout standards.
Develop comprehensive documentation, support instructions, and handover materials for other teams.
Close collaboration within worldwide distributed teams, e.g., Germany, India, Vietnam.
Key Accountabilities
End-to-end deployment ownership for manufacturing applications.
Deployment automation and pipeline optimization.
Release readiness validation and deployment governance.
Production stability and business continuity during releases.
Global stakeholder coordination and knowledge management.
Continuous improvement of DevOps/GitOps deployment practices.
Educational qualification:
BE/B.Tech/M.Tech/MCA
Experience & Mandatory/requires Skills : :
Having minimum 3+ years of relevant, hands-on experience as DevOps or experience deployment and operation in Kubernetes (K8S) environment of medium to large scale enterprise Platform, Databases, and application systems.
Experience with Software Development Lifecycle – SDLC including development, packaging, releasing and deployment for containerization or non-containerization application.
Experience with API (REST and gRPC), distributed system, database as well as enterprise level systems (ERP).
Familiarity with DevOps and GitOps practices (CI/CD/Cx/…) for automated rollout and processes as well as deployment concept on K8S (Blue-Green, Canary, A/B…)Well versed in one of the languages (Python, Java, Go).
Familiarity with MongoDB and Elasticsearch for effective data management.
Ability to create comprehensive documentation and facilitate efficient knowledge transfer.
Ability to deal with complex enterprise system environments and challenges, analyze problems and problem-solving.Concept of Agile, HA, Resiliency, Scalability.
ITIL, Operational requirements and Support.
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