AWS DevOps & AI Engineer

Overview

AWS DevOps & AI Engineer focused on building secure, automated AWS platform capabilities and deploying GenAI-enabled applications.

What you'll do

• Build and maintain AWS infrastructure using declarative Infrastructure as Code tools like Terraform or CloudFormation.
• Design and maintain CI/CD pipelines to deliver changes with quality gates using tools such as Jenkins, GitHub Actions, or GitLab CI.
• Implement secure-by-design controls including IAM least privilege, secrets management, network segmentation, and governance guardrails.
• Containerize and run services with Docker on ECS/EKS and orchestrate event-driven compute using Lambda.
• Set up observability using CloudWatch, Datadog, and Grafana with automated alerting and remediation.
• Develop Python integrations for AWS Bedrock and deploy production-ready AI applications with monitoring and guardrails.

What you'll need

• 4–6 years of experience in AWS, continuous integration and delivery, cloud engineering, or a similar software engineering role.
• Hands-on AWS experience with services including EC2, ECS, S3, Lambda, IAM, CloudWatch, VPC, Load Balancers, SQS, and SNS.
• Experience with automated build/deployment pipelines using Jenkins, GitHub Actions, GitLab CI, and/or Ansible.
• Practical Infrastructure as Code experience, preferably Terraform and/or CloudFormation.
• Good understanding of AWS networking and security, including IAM least privilege principles.
• Strong proficiency in Python 3.x for automation, scripting, API development, and cloud-native applications.