DevOps Engineer (Application Deployment & Configuration K8S)

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.

Qualifications :

Educational qualification:

BE/ & 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.

Remote Work :

No

Employment Type :

Full-time