Role Summary

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.

The role emphasizes eliminating manual operations, standardizing workflows, and enabling repeatable, production-grade deployments using tools such as CloudFormation, Terraform, AWS AFT, CFCT, Kubernetes (EKS), and Backstage.

Accountabilities

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.
Ensure all infrastructure, deployments, and operations are:

- Automated

- Repeatable

- Version-controlled and auditable

Drive operational excellence through automation of monitoring, recovery, and scaling.
Enable self-service capabilities via Backstage and automation pipelines.
Reduce manual intervention and improve deployment speed, consistency, and reliability.

Responsibilities

1. Cloud Infrastructure Automation

Design and automate AWS infrastructure provisioning:

- VPCs, EC2s, EKS, subnets, routing, and security groups

Implement automation-driven multi-account management using:

- AWS Control Tower, AFT, and CFCT

Build and maintain:

- AFT pipelines for account provisioning and lifecycle automation

- CFCT pipelines for automated baseline configuration and governance

Automate:

- Account bootstrapping (IAM, logging, security baselines)

- Environment provisioning across dev, staging, and production

Ensure infrastructure is deployed and managed exclusively via IaC and automation pipelines

2. Kubernetes & EKS Automation

Automate lifecycle management of Amazon EKS clusters
Implement automated deployment patterns using:

- Helm and GitOps (ArgoCD/Flux)

Automate Kubernetes operations:

- Workload deployments

- Scaling policies

- Configuration and secrets management

Build automated workflows for:

- Cluster upgrades and patching

- Performance tuning and optimization

- Failure recovery and resilience

3. Infrastructure as Code & Automation Frameworks

Develop and maintain IaC-driven automation frameworks using:

- Terraform and AWS CloudFormation

Create reusable automation modules:

- Terraform modules for infrastructure and AFT customization

- CFCT configuration packages for governance enforcement

Integrate IaC into CI/CD pipelines for fully automated provisioning
Enforce:

- Version control

- Auditability

- Security and compliance through automation

4. DevOps Automation & CI/CD

Design and implement fully automated CI/CD pipelines using Bitbucket Pipelines
Automate:

- Build, test, security scanning, and deployment workflows

Containerize applications using Docker and manage images in Amazon ECR
Integrate:

- SAST, DAST, and container security scanning

- IaC validation and policy enforcement

Enable zero-touch or low-touch deployments for engineering teams

5. Scaffolding & Self-Service Enablement (Secondary Focus)

Develop reusable, automation-driven scaffolds:

- Infrastructure templates (Terraform/CloudFormation)

- Kubernetes deployment templates (Helm)

- Application boilerplates

Integrate scaffolds into Backstage Software Templates
Ensure scaffolds:

-Automatically provision infrastructure

-Configure pipelines

-Deploy services with minimal manual steps

-Align scaffolds with:

- AFT-provisioned accounts

-CFCT-enforced baselines

-Promote standardized golden paths powered by automation

6. Observability, Security & Compliance Automation

Automate observability:

-Logging, metrics, and alerting (CloudWatch, Splunk, Prometheus)

Embed security via automation:

-IAM provisioning and least privilege enforcement

-IRSA for Kubernetes workloads

-Secrets management (AWS Secrets Manager, SSM)

Implement policy-as-code and automated compliance checks
Ensure all environments are continuously monitored and compliant by default

7. Cloud Operations & Reliability Engineering

Operate AWS environments with a focus on automation-driven operations
Automate:

-Incident detection and alerting

-Recovery workflows where possible

Perform advanced troubleshooting:

-Networking (BGP, routing, hybrid connectivity)

-Kubernetes and application-level issues

Participate in:

-On-call rotations

-Incident response and root cause analysis

Continuously improve reliability by eliminating repetitive manual tasks through automation