Our Client is looking for a hands-on AWS Engineer to build, automate, and support cloud infrastructure used by healthcare applications and enterprise platforms.The engineer will work with application, security, networking, DevOps, and architecture teams to deliver reliable and secure AWS environments. The role includes infrastructure development, automation, monitoring, troubleshooting, deployments, and production support.
-
Build and maintain AWS infrastructure across development, testing, and production environments.
-
Work with EC2, VPC, IAM, S3, RDS, Lambda, Route 53, CloudFront, ELB, and Auto Scaling.
-
Deploy and support containerized applications using ECS, EKS, Docker, and Kubernetes.
-
Create reusable infrastructure using Terraform or CloudFormation.
-
Build and maintain CI/CD pipelines using Jenkins, GitLab CI/CD, GitHub Actions, or AWS CodePipeline.
-
Configure VPCs, subnets, security groups, load balancers, routing, VPNs, and private connectivity.
-
Automate cloud operations using Python, Bash, Lambda, and AWS Systems Manager.
-
Set up monitoring, logging, dashboards, and alerts using CloudWatch, CloudTrail, and related tools.
-
Troubleshoot infrastructure, networking, security, deployment, and application-connectivity issues.
-
Support patching, backups, disaster recovery, high availability, and production-readiness activities.
-
Apply AWS security standards using IAM roles, KMS, Secrets Manager, and least-privilege access.
-
Identify opportunities to improve performance, reliability, automation, and cloud costs.
-
Participate in code reviews, releases, incident resolution, and on-call support.
-
8+ years of infrastructure, cloud engineering, DevOps, or systems-engineering experience.
-
4+ years of hands-on AWS experience.
-
Strong experience with EC2, VPC, IAM, S3, RDS, Lambda, Route 53, ELB, and Auto Scaling.
-
Experience with ECS, EKS, Docker, and Kubernetes.
-
Strong experience with Terraform or CloudFormation.
-
Experience building and supporting CI/CD pipelines.
-
Strong Linux administration and troubleshooting skills.
-
Experience with Python, Bash, or another scripting language.
-
Understanding of networking, security, monitoring, backup, and disaster-recovery practices.
-
Experience supporting highly available production environments.