Description

Required

 

• AWS core services: EC2, Lambda, S3, EBS, VPC, Route 53, RDS/Aurora, DynamoDB, IAM, and CloudWatch
• Terraform, CloudFormation, or AWS CDK
• Python or another modern programming language
• Docker and Kubernetes, ECS, Fargate, or EKS
• Git and CI/CD tools such as TeamCity or GitHub Actions
• AWS AI services, including Bedrock, SageMaker, Textract, and Amazon Q
• Current AWS Associate-level or higher certification
  
   

Preferred

 

• MCP and AI agentic workflows
• Advanced AWS certification
• Policy-as-code and automated compliance
• GitOps and cloud cost-optimization tools
  
   

Overall Responsibilities

 

• Design, build, and migrate workloads to AWS.
• Develop secure and reusable infrastructure using IaC.
• Manage AWS environments, upgrades, provisioning, performance, stability, security, and lifecycle activities.
• Implement CI/CD, containerization, monitoring, and automation.
• Enable AI platforms and APIs with security, audit, and operational guardrails.
• Apply AWS Well-Architected principles.
• Collaborate with application, architecture, security, data, and operations teams.
• Troubleshoot incidents and improve platform reliability and cost efficiency. 
  
   

Technical Skills

 

• Cloud: AWS compute, storage, networking, databases, IAM, monitoring, and cost management.
• Infrastructure: Terraform, CloudFormation, AWS CDK, Docker, Kubernetes, ECS, Fargate, or EKS.
• Programming: Python or equivalent scripting language.
• DevOps: Git, CI/CD, automated testing, deployment, monitoring, and rollback.
• AI/ML: Bedrock, SageMaker, Textract, Amazon Q, APIs, MCP, and AI guardrails.
• Security: IAM, least privilege, encryption, secrets management, secure APIs, logging, and audit controls. 
  
   

Experience Requirements

 

• 8+ years of experience in AWS cloud, platform engineering, DevOps, infrastructure, or related roles.
• Practical experience designing, migrating, and operating AWS workloads.
• Experience with IaC, CI/CD, containers, monitoring, cloud security, and automation.
• Experience enabling AI capabilities on cloud platforms.
• Enterprise-scale or regulated-environment experience is preferred. 
  
   

Day-to-Day Activities

 

• Build and maintain AWS infrastructure and IaC modules.
• Develop CI/CD pipelines and automate deployments.
• Monitor platform performance, security, availability, and cost.
• Support cloud services, databases, networking, and container platforms.
• Integrate AI services and maintain platform guardrails.
• Resolve incidents and document runbooks, designs, and procedures.
• Participate in architecture reviews, planning meetings, and operational discussions. 
  
   

Qualifications

 

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Equivalent relevant experience may be considered.
• Current AWS Associate-level or higher certification is required.
• AWS Professional/Specialty, Kubernetes, DevOps, or AI certifications are preferred.
• Commitment to continuous learning in AWS, AI, security, and platform engineering

Key Skills

Education

Bachelor's degree