DevOps Engineer (Application Deployment & Configuration - K8S)

Job Description

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/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.