Lead Azure Engineer (RapidScale)

Primary Duties and Responsibilities Primary 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 Core Expertise Cloud Computing on Azure (IaaS, PaaS, SaaS) Migrations to Azure Professional Services/Consulting engagements Security/Compliance Services Automation/DevOps Data management in the cloud Transformational Services with AI/ML Qualifications Minimum Bachelor’s degree in a related discipline and 6 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 4 years’ experience; a Ph.D. and 1 year of experience; or 10 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 Experience with Infrastructure as Code using Terraform, (ARM/Bicep a plus) 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 Ability to leverage AI tools to improve productivity and automation 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 is desirable Exposure to AWS or GCP 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 USD 122,600.00 - 204,400.00 per year Compensation includes a base salary in the range of $122,600.00 - $204,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for 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. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. EOE, including disability/vets #J-18808-Ljbffr Cox Communications