Senior Cloud DevOps Engineer (GCP & Azure) – Environment Cleanup & Automation Project Overview

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

We are looking for a highly experienced Cloud DevOps Engineer to help us clean up, standardize, and optimize our existing cloud environments across GCP and Azure.

Our infrastructure has evolved over time and now needs restructuring, automation, cost optimization, and best-practice alignment.

This is a hands-on technical engagement focused on bringing order, visibility, and automation to our cloud stack.

Objectives

The goal of this engagement is to:

Audit and assess our current GCP and Azure environments

Identify misconfigurations, redundancies, and security risks

Reduce unnecessary costs and optimize resource allocation

Standardize infrastructure using Infrastructure as Code (Terraform preferred)

Improve CI/CD and deployment reliability

Clean up networking, IAM roles, and service accounts

Establish monitoring, logging, and alerting best practices

Improve container/Kubernetes structure if needed (AKS/GKE)

Scope of Work

You will:

Review current architecture and provide structured recommendations

Refactor infrastructure into reusable Terraform modules

Consolidate or remove unused cloud resources

Improve environment separation (dev/stage/prod)

Implement cost visibility and optimization strategies

Harden IAM and access policies

Improve deployment pipelines (Azure DevOps / GitHub Actions)

Document the new architecture and standards

Required Experience

Strong hands-on experience with:

GCP (VPC, IAM, GKE, Cloud SQL, Pub/Sub, etc.)

Azure (AKS, VNets, AAD, Key Vault, App Services, etc.)

Advanced Terraform experience

Kubernetes operational experience

CI/CD pipeline design and improvement

Cloud security best practices

Cost optimization in cloud environments

Ability to work independently and propose structured improvements

Nice to Have

Experience cleaning up messy / inherited cloud environments

Multi-cloud architecture design

Experience with AI/ML or data platforms

FinOps knowledge

Engagement Details

Short-term engagement with potential extension

Must be available for architecture walkthrough sessions

Deliverables should include documentation and automation scripts

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