Cloud Comp Engr Sr

SAIC is Seeking a Senior DevOps Cloud engineer with a strong AWS cloud and python development, provisioning and deployment background. The individual should have proven knowledge to design, develop, and implement IaC, an automated DevOps pipeline capable of supporting high-performing software solutions.

Key Responsibilities:

• Develop, deploy, and manage enterprise-grade Python-based applications using AWS services such as AWS Bedrock, AWS AgentCore, AWS Lambda, EC2, S3, DynamoDB, API Gateway, CloudFormation, CloudWatch, and Step Functions.
• Design and implement Agentic AI architectures and Python-based microservices to create scalable, intelligent, and high-performance cloud solutions.
• Design and implement distributed Python-based systems supporting multi-agent architectures, where agents interact and make decisions in real-time to achieve collaborative or competitive objectives in the cloud.
• Set up/ build CI/CD deployment pipelines using CodeBuild, CodePipeline, CodeDeploy (or SAIC GitLab), ensuring automated testing, deployment, monitoring, and rollback capabilities.
• Re-create, enhance, and thoroughly test existing Python deployment scripts for backend services (AWS AgentCore), frontend/middle-tier applications (UI/React/FastAPI), and the database layer (PostgreSQL), ensuring efficiency, stability, and scalability.
• Develop and rigorously test deployment scripts to deploy to ECR for KeyCloak (with Database separate) deployed as App Runner.
• Create IaC CloudFormation templates to deploy and destroy AWS resources like IAM users, VPCs, subnets, and other networking and application components.
• Create deployment scripts and workflows for integrating and thoroughly testing KeyCloak, ensuring the database is deployed separately.
• Create IaC deployable packages/scripts/CloudFormation templates to deploy and destroy all components with prerequisite and dependencies.
• Conduct rigorous testing of end-to-end deployment and destruction workflows, verifying the reliability of deployment scripts, IaC templates, and automation in multiple iterations.
• Deploy to ECR (with GuardDuty and Inspector enabled to scan for issues, security vulnerability and compliance).
• Enable logging, tools and workflows to monitor deployed AWS services, troubleshoot deployment issues, and optimize system performance using AWS CloudWatch/CloudTrail.
• Enable AWS GuardDuty and Inspector within deployment workflows to automatically scan for security vulnerabilities, compliance issues, and operational risks before and after deployment.