Senior DevOps Engineer

Location: Hyderabad

Department: Z- S&P_Corporate DTS

Experience: 5-8

• • Manage and administer enterprise AI platforms such as Cursor IDE, Amazon Q, GitHub Copilot, and similar AI copilots.
  • Define and enforce platform security policies, governance standards, and compliance controls.
  • Configure and manage Model Context Protocol (MCP) servers and Agentic AI environments.
  • Implement access controls, RBAC policies, and enterprise-grade configurations.

• • Manage enterprise user lifecycle (onboarding, offboarding, access provisioning).
  • Integrate AI platforms with Okta and other SSO/Identity providers.
  • Configure and manage authentication, authorization, and audit policies.
  • Ensure compliance with enterprise security standards.

• • Design and implement Agentic AI-based workflow automation.
  • Automate daily operational tasks using scripting (Python, Shell, etc.).
  • Build intelligent automation pipelines leveraging AI tools.

• • Manage and support CI/CD tools and DevSecOps pipelines.
  • Integrate AI tooling into SDLC processes.
  • Ensure secure coding, scanning, and compliance within pipelines.
  • Support GitHub Enterprise environments and enterprise toolchains.

• • Handle support operations using (SNOW) ticketing system.
  • Work within Change Management and Release Management processes.
  • Provide L2/L3 support for AI platforms and DevOps tooling.

• • Basic understanding of cloud platforms (AWS/Azure/GCP).
  • Knowledge of networking fundamentals, IAM, and security best practices.

• • 5–8 years of experience in DevOps / Platform Engineering.
  • Hands-on experience with AI developer platforms (Cursor IDE, Amazon Q, Copilot, etc.).
  • Strong understanding of Agentic AI concepts and MCP server configuration.
  • Experience with Okta or similar SSO integration.
  • Experience with GitHub Enterprise administration.
  • Proficiency in scripting languages (Python, Bash, etc.).
  • Experience in CI/CD tools and DevSecOps practices.
  • Familiarity with (SNOW).
  • Strong understanding of Change and Release Management processes.
  • Basic cloud infrastructure and networking knowledge.

• • GitHub Enterprise administration experience.
  • Agentic AI or related AI platform certification.
  • Experience implementing enterprise security and governance frameworks.
  • Exposure to large enterprise environments.

• • Strong problem-solving and troubleshooting skills.
  • Excellent communication and stakeholder management skills.
  • Ability to work in cross-functional enterprise environments.
  • Proactive mindset with automation-first approach.