Azure Cloud Engineer

Overview of 66degrees

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role

We are looking for a skilled Azure Cloud Engineer with strong hands-on experience in Azure infrastructure, Terraform, automation, CI/CD pipelines, and Cloud Migration projects. The ideal candidate should have production-grade experience supporting enterprise Azure environments, infrastructure automation, troubleshooting, and migration of workloads from On-Premises to Azure.

Key Responsibilities

• Build, deploy, and manage Azure infrastructure using Terraform and Infrastructure as Code (IaC)
• Build and maintain reusable Terraform modules and CI/CD pipelines
• Automate deployments and operational tasks using Ansible, PowerShell, and Shell scripting
• Manage and troubleshoot Azure services including:
• Virtual Machines (Windows/Linux)
• VNet & Networking
• Load Balancer, App Gateway, Ingress
• Azure SQL Managed Instance
• Azure Key Vault
• Microsoft Entra ID / Azure AD
• Identity & Access Management
• Develop and support CI/CD pipelines using GitLab, GitHub Actions, or Jenkins
• Perform production troubleshooting for:
• Terraform deployment failures
• CI/CD pipeline failures
• VM/network/connectivity issues
• Infrastructure and performance issues

Cloud Migration (Highly Important)

• Strong experience in migrating workloads from On-Premises to Azure
• Experience migrating:
• Windows/Linux servers
• Applications
• Databases
• Storage/File Shares
• Participate in migration planning, execution, cutover, and post-migration support
• Troubleshoot migration-related networking, identity, and application issues
• Monitor infrastructure and respond proactively to alerts and operational issues
• Work closely with customers and internal engineering teams
• Follow security, governance, and cloud best practices

Technical Requirements

Core Experience: 3-5 years of experience as Azure Cloud Engineer.

Azure Cloud

• Strong hands-on experience with Azure IaaS services
• Networking, Security, Identity, and Access Management
• Windows and Linux platform administration
• Active Directory knowledge

Terraform (Highly Important)

• Production-grade Terraform experience (8/10 expected)
• Reusable module development
• Strong troubleshooting and debugging skills
• Terraform state management knowledge

DevOps & Automation

• GitLab CI/CD (preferred)
• GitHub Actions / Jenkins
• Ansible automation
• PowerShell and/or Shell scripting

Preferred Qualifications

• Azure Certifications (Associate / Professional preferred)
• Exposure to GCP or multi-cloud environments
• Experience working in enterprise production environments

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

AI Transparency & Disclosure

As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.

These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.