AWS DevOps (AI Engineer)
NTT Ltd. (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 22h ago
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Job description
Structured overview of role & requirements
About This Role
- Build, secure, automate, and operate AWS environments (DEV, TEST, PROD) supporting AI, GenAI, and Agentic AI workloads.
- Develop and manage containerized applications using Docker, Kubernetes (EKS/ECS), and Amazon Bedrock AgentCore with Infrastructure as Code (Terraform).
- Implement secure DevSecOps CI/CD pipelines, monitoring, SRE practices, and cloud cost optimization using FinOps principles.
Minimum Requirements
- Strong hands-on experience in AWS DevOps, Platform Engineering, or Cloud Engineering with production-grade AWS environments.
- Proven experience with Amazon Bedrock and Bedrock AgentCore is essential.
- Proven experience supporting AI, GenAI, or Agentic AI workloads in production; infrastructure support or CI/CD-only experience without production ownership is insufficient.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in end-to-end AWS platform automation, security, and deployment specifically for AI workloads including Amazon Bedrock technologies.
- Skilled in building secure, scalable containerized cloud solutions and implementing advanced DevSecOps and SRE best practices.
- Familiar with FinOps, multi-account AWS setups, GitOps tools, and monitoring/observability frameworks relevant to AI/Agentic AI production environments.