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Tata Consultancy Services Linkedin · Posted 14d ago

DevOps Engineer

Xinyi District

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Indexed description

  1. Legacy Upgrade Prototyping: Implement prototypes for upgrading existing EOS/EOL systems and alternative solutions (including framework upgrades).
  2. AI SDLC Execution & Sharing: Implement AI SDLC (Claude Code) practices and share knowledge/best practices with the engineering team.
  3. CI/CD Implementation: Execute and implement CI/CD processes and methodologies, and assist the engineering team in troubleshooting deployment issues.
  4. Container Management: Implement Container architecture and management methods (specifically utilizing Podman).
  5. Architecture Prototyping: Collaborate on the hands-on prototyping of architectural modernization for core and digital systems.
  6. Utility Development: Implement shared and common utility frameworks for the team.


Must-Have

  • Development Tech: Hands-on experience in C#.Net / .NET Core OR Java.
  • API & Cloud: Experience with RESTful APIs, Cloud concepts, Containerization, and Kubernetes.
  • DevOps Execution: Practical experience with CI & Jenkins, YAML Pipelines, Continuous Delivery (CD), and Ansible.
  • AI Integration: Hands-on implementation experience with AI SDLC (Claude Code).
  • Frameworks: Proficiency in Spring Boot. Familiarity with Shared Component / Utility Frameworks and Integration Frameworks.
  • Version Control: Git / GitHub.

Good-to-Have

  • Frontend experience with React or Angular (if applicable).
  • Language: English proficiency (Listening, Speaking, Reading, Writing) is a strong plus, though not strictly required.
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