Description

Key Responsibilities

Cloud Engineering & DevOps – Primary Focus

• Design, build, and maintain secure, scalable multi-account AWS environments.
• Define enterprise-level AWS architecture and cloud engineering standards.
• Develop and manage automated CI/CD pipelines using GitLab CI/CD and AWS-native deployment services.
• Build, package, containerize, and deploy AgentCore workloads using Docker and Amazon ECR.
• Implement Infrastructure as Code using AWS CDK and CDK Pipelines.
• Configure and manage AWS Systems Manager (SSM) for operational automation.
• Design and optimize data persistence solutions using Amazon DynamoDB.
• Implement secure authentication and authorization using OAuth / OBO patterns.
• Apply security and authorization policies using the AWS Cedar Policy Framework.
• Implement AWS Organizations and Service Control Policies (SCPs) for enterprise governance.
• Design secure AWS networking using VPC Endpoints and AWS PrivateLink.
• Monitor, troubleshoot, and optimize cloud workloads and deployment processes.
• Lead production deployments, release management, operational readiness, and incident resolution.
• Establish cloud security, monitoring, logging, resiliency, and operational best practices.

Agentic AI & AgentOps

• Design and implement AI agents and multi-agent orchestration workflows using the Strands Framework.
• Build and operate solutions using AWS Bedrock AgentCore Runtime and AgentCore Gateway.
• Support AgentOps and platform operations, including AgentCore Runtime, Agent Registry, MCP integrations, OTEL, and operational monitoring.
• Develop and manage MCP (Model Context Protocol) integrations with enterprise systems and applications.
• Integrate AWS Bedrock Foundation Models with enterprise applications and APIs.
• Implement AI observability, governance, security, monitoring, and distributed tracing.
• Optimize AI agent performance, scalability, reliability, and cost efficiency in production environments.

Architecture & Technical Leadership

• Provide technical leadership for enterprise AWS and Agentic AI initiatives.
• Lead architecture and design reviews for complex cloud-native platforms.
• Define technical standards, reusable patterns, and best practices for AWS engineering and DevOps.
• Mentor senior engineers and provide technical direction across cloud, DevOps, and AI engineering teams.
• Collaborate with security, application, data, DevOps, and AI teams to deliver enterprise solutions.
• Evaluate emerging AWS and AI technologies and recommend appropriate solutions for enterprise adoption.

Required Qualifications

• 15+ years of overall IT / software engineering experience.
• Extensive experience in AWS Cloud Architecture and Engineering.
• Strong experience designing and implementing enterprise-scale cloud-native solutions.
• Extensive hands-on experience with DevOps, CI/CD, and Infrastructure as Code.
• Strong experience with GitLab CI/CD, Docker, Amazon ECR, AWS CDK, and CDK Pipelines.
• Experience with AWS Organizations, SCPs, IAM Identity Center, VPC Endpoints, and PrivateLink.
• Strong knowledge of CloudWatch, CloudTrail, OpenTelemetry (OTEL), and cloud monitoring.
• Experience with AWS Systems Manager (SSM) and DynamoDB.
• Strong understanding of cloud security, governance, authentication, and authorization.
• Experience with OAuth / OBO authentication patterns.
• Experience with the AWS Cedar Policy Framework.
• Strong Python and cloud-native application development experience.
• Hands-on experience with Agentic AI / Generative AI platforms.
• Experience with AWS Bedrock AgentCore Runtime and Gateway, Strands Framework, and MCP integrations.

Preferred Qualifications

• AWS Certified Solutions Architect or AWS Certified DevOps Engineer.
• Experience building and operating enterprise-scale Agentic AI platforms.
• Strong experience with event-driven architectures and microservices.
• Experience with AI governance, security, observability, and responsible AI practices.
• Experience leading complex cloud modernization and enterprise platform initiatives.

Nice-to-Have Skills

• LangGraph / LangChain
• AWS Bedrock Knowledge Bases
• Amazon API Gateway
• AWS Lambda
• AWS Step Functions
• Vector databases
• RAG architectures
• Kubernetes / Amazon EKS

Key Skills

Education

Bachelor's degree