Lead Azure Engineer (RapidScale)

About the role

RapidScale is a company that provides managed and advisory services in cloud computing, focusing on business outcomes with embedded cyber resiliency and AI. This role involves working with clients to assess, design, build, migrate, and manage their cloud environments.

Responsibilities

• Deliver cloud solutions across client engagements including assessments, migrations (rehost, replatform, refactor), and modernization initiatives
• Implement Azure environments aligned to security, compliance, performance, and cost optimization best practices
• Partner with Solution Architects to translate designs into scalable, executable solutions
• Troubleshoot and resolve technical challenges during implementation and deployment
• Support transition of client environments to Managed Services, including documentation, diagrams, and knowledge transfer
• Contribute to automation, process improvements, and internal capability development within the Professional Services team

Qualifications

• Minimum Bachelor's degree in a related discipline and 6 years' experience in a related field
• Strong client-facing and consultative experience in addition to hands-on delivery
• Deep expertise in Microsoft Azure, including infrastructure, networking, identity, and governance (IaaS, PaaS, Entra ID, RBAC, Azure Policies)
• Proven experience migrating workloads to Azure using tools such as Azure Migrate, ASR, or similar
• Strong scripting and automation skills (PowerShell, Python, Bash, Azure CLI)
• Experience building and supporting CI/CD pipelines (GitHub, GitLab, Azure DevOps)
• Systems administration experience across Windows and/or Linux
• At least one Associate, Expert, or Specialty-level certificate on Azure
• PREFERRED: Working knowledge of containerization and Kubernetes (AKS or similar), experience with rehost, replatform, and refactor migration strategies, experience with Azure Virtual Desktop (AVD), DevOps Engineer Expert, AI Engineer, or any Data-related certifications, experience with AIML services and tools for building custom solutions on Azure, experience with Data and analytics services on Azure (Microsoft Fabric, Data Lake, Databricks)

Compensation

The base salary for this position ranges from $122,600.00 to $204,400.00 per year. Additional compensation may include an incentive program.

Benefits

• Flexibility to take as much vacation with pay as deemed consistent with duties, company needs, and obligations
• Seven paid holidays throughout the calendar year
• Up to 160 hours of paid wellness annually for themselves or family members
• Additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave