Description

You will design AI-enabled architectures for highly available, scalable, and secure cloud infrastructure services on AWS.

Responsibilities

• Design and build reusable frameworks integrating AWS services to accelerate cloud-native and GenAI solutions.
• Implement IaC using CloudFormation, CDK, or Terraform to provision infrastructure and build CI/CD automation.
• Architect and integrate GenAI and LLM features into enterprise applications using AWS Bedrock and SageMaker.
• Define and implement cloud adoption, modernization, and migration strategies.
• Guide engineering teams, remove technical blockers, and support architectural governance reviews.

Required Skills

• 12+ years of overall experience, with a minimum of 10 years in application development or architecture on AWS services.
• Expert-level experience with AWS services, specifically serverless and event-driven patterns (API Gateway, Lambda, DynamoDB, SQS, SNS, Step Functions, CodeBuild).
• Extensive hands-on experience integrating AI/LLM capabilities using AWS Bedrock, SageMaker, or OpenSearch.
• Deep familiarity with consuming AWS services programmatically via the AWS SDK.
• Strong experience writing Infrastructure-as-Code, preferably using AWS CloudFormation.
• Proven experience with AWS native DevOps/CI/CD components (CodeBuild, CodePipeline, CodeDeploy).
• Application development background in Python or Node.js.
• Solid understanding of networking, security, and architectural best practices in cloud environments.

Key Skills

Education

Bachelor's degree