Join our dynamic team as an AWS DevOps Engineer focused on AI, GenAI, and Agentic AI solutions. This role is instrumental in building, securing, automating, and operating production-grade AWS platforms.

Your expertise will enable the seamless transition of AI workloads from proof-of-concept to scalable, secure, and observable production deployments. You'll be at the forefront of innovation, ensuring robust platform engineering for cutting-edge AI technologies.

- Construct and manage robust AWS environments (DEV, TEST, PROD) tailored for AI and Agentic AI workloads. - Implement containerization and deployment strategies using Docker, Kubernetes (EKS/ECS), and Amazon Bedrock AgentCore. - Develop and maintain Infrastructure as Code (IaC) with Terraform, covering networking, IAM, KMS, secrets management, and secure connectivity. - Build and manage secure DevSecOps CI/CD pipelines for comprehensive testing, security scanning, deployment, promotion, and rollback procedures. - Integrate AI evaluation, regression, and guardrail controls directly into deployment pipelines. - Establish comprehensive observability and monitoring solutions leveraging OpenTelemetry, ADOT, CloudWatch, and Bedrock AgentCore capabilities. - Champion SRE principles, including SLOs, resilience, incident management, and root cause analysis, ensuring production readiness. - Drive optimizations for platform performance, scalability, reliability, and cloud costs through FinOps practices. - Foster collaboration with AI Engineering, Security, Architecture, and Operations teams to define reusable platform patterns and best practices.

- Demonstrated hands-on experience in AWS DevOps, Platform Engineering, or Cloud Engineering. - Proven track record of building and operating production AWS environments and containerized workloads. - Deep familiarity with Amazon Bedrock and Bedrock AgentCore. - Expertise in Docker, Kubernetes/EKS, Terraform, and Infrastructure as Code methodologies. - Strong capabilities in CI/CD automation, DevSecOps, AWS security, IAM, and secrets management. - Experience with OpenTelemetry, ADOT, CloudWatch, and other monitoring, logging, and tracing tools. - Solid understanding of SRE practices, including SLOs, resilience engineering, incident management, and RCA. - Proficiency in Bash and/or Python for automation tasks. - Practical experience with AWS cost optimization and FinOps. - Excellent collaboration, problem-solving, and platform consulting skills.

Mandatory: Proven end-to-end experience building, automating, securing, deploying, and supporting production-grade AWS platforms and containerized workloads. Hands-on experience with Amazon Bedrock and Bedrock AgentCore is critical. Production experience supporting AI, GenAI, or Agentic AI workloads is highly desirable. Infrastructure support or CI/CD-only experience without production ownership is insufficient.