Urgent Need; AWS Architect with Python and CI/CD exp | Boston, MA (Onsite)

Key Responsibilities:
Design and implement cloud-native architectures leveraging AWS services for high availability, scalability, and performance.
Collaborate with development teams to build and deploy applications using Python on AWS platforms (Lambda, ECS, EC2, etc.).
Define and implement CI/CD pipelines using tools like GitHub Actions, Jenkins, GitLab CI/CD, or AWS CodePipeline.
Lead infrastructure automation using Terraform, AWS CloudFormation, or similar IaC tools.
Architect secure solutions using VPCs, IAM, KMS, Security Groups, and WAF in compliance with best practices.
Optimize cloud resources and deployments for cost, performance, and reliability.
Guide and mentor teams on DevOps practices, deployment strategies, and AWS service usage.
Monitor application and infrastructure health using CloudWatch, X-Ray, and third-party APM tools.
Stay current with evolving AWS services and recommend innovations to improve system efficiency.

Required Skills & Qualifications:
10+ years of experience in software architecture and development.
6+ years of deep AWS cloud architecture experience with production-grade systems.
Strong Python development skills, including experience with APIs, scripting, and automation.
Proven experience designing and managing CI/CD pipelines and DevOps automation.
Expertise in containerization and orchestration using Docker and ECS/EKS.
Experience with Terraform, CloudFormation, or similar IaC tools.
Solid understanding of networking, security, and IAM within AWS.
Strong problem-solving skills and experience troubleshooting complex cloud systems.
Excellent verbal and written communication skills for both technical and non-technical audiences.

Preferred Qualifications:
AWS Certified Solutions Architect (Associate or Professional).
Experience with serverless frameworks, Step Functions, and event-driven architecture.
Familiarity with multi-account AWS organizations, landing zones, and control towers.
Experience with agile methodologies and cloud-native SDLC processes.