Cloud DevOps Automation Engineer
About the role
The Cloud DevOps Automation Engineer is responsible for building and operating automation-first cloud platforms across AWS environments. This role unifies cloud infrastructure, DevOps practices, and scaffolding frameworks through robust automation to enable scalable, secure, and efficient service delivery. Acting as the bridge between infrastructure, platform engineering, and developer experience, the engineer will design systems where automation is the primary control plane—powering infrastructure provisioning, EKS operations, CI/CD pipelines, and self-service service onboarding.
Key responsibilities
Design and implement end-to-end automation frameworks for AWS infrastructure, EKS platforms, and application delivery
Own and operate AWS multi-account environments using AFT and CFCT, driven by automation
Build and maintain automated CI/CD pipelines and GitOps workflows
Develop reusable scaffolds and templates that are fully automation-enabled
Design and automate AWS infrastructure provisioning including VPCs, EC2s, EKS, subnets, routing, and security groups
Automate lifecycle management of Amazon EKS clusters and implement automated deployment patterns using Helm and GitOps
Develop and maintain IaC-driven automation frameworks using Terraform and AWS CloudFormation
Design and implement fully automated CI/CD pipelines using Bitbucket Pipelines
Automate observability including logging, metrics, and alerting
Operate AWS environments with a focus on automation-driven operations and participate in on-call rotations and incident response
About you
Strong experience with AWS (EKS, IAM, VPC, Control Tower)
Proven expertise in AWS Account Factory for Terraform (AFT) and Customizations for AWS Control Tower (CFCT)
Deep hands-on experience with Kubernetes (EKS) and Helm
Advanced proficiency in Terraform and CloudFormation
Strong experience in building automation frameworks and CI/CD pipelines
Knowledge of AWS networking and hybrid connectivity (Direct Connect, VPN, BGP)
Experience with Docker and Amazon ECR
Solid Linux system administration and troubleshooting skills
Familiarity with observability tools (CloudWatch, Splunk, Prometheus, Grafana)
Experience with Backstage or developer platforms (preferred)