Lead the engineering, deployment, and optimization of Azure cloud infrastructure across IaaS, PaaS, and SaaS services
Support data scientists and AI teams in developing and operationalizing AI proof-of-concepts using Azure ML, Azure OpenAI, and Azure Databricks
Develop and maintain Infrastructure as Code (IaC) solutions using Bicep, ARM templates, and Terraform for consistent and automated deployments
Migrate existing cloud resources into IaC frameworks before promotion into higher environments, ensuring version control, automated testing, and policy compliance
Implement DevSecOps practices including automated security scanning, configuration compliance, and policy enforcement in CI/CD pipelines
Engineer Azure compute, storage, networking, identity, AKS, monitoring, and governance components
Integrate SaaS platforms securely with Azure, hybrid, and multi-cloud environments
Produce architecture diagrams, engineering documentation, and technical recommendations
Evaluate emerging Azure services, AI capabilities, and multi-cloud tooling; provide adoption guidance
Contribute to cloud standards, engineering patterns, and modernization roadmaps

Bachelor’s degree plus 10+ years of Azure cloud engineering experience
Experience supporting AI/ML workloads, including Azure ML, Databricks, and model deployment pipelines
Hands-on experience designing and securing Azure cloud environments at scale
Strong knowledge of DevSecOps automation, CI/CD pipelines, and security-by-design principles, including Git-based version control tools
Experience with IaC frameworks such as Bicep, ARM, or iTerraform
Understanding of multi-cloud concepts and AWS/GCP service equivalents
Hands-on experience Linux and Windows Server administration
Hands-on scripting experience in PowerShell, Bash, and Python
Hands-on experience with networking, including VNets, DNS, routing, private endpoints, firewalls
Experienced with containers and orchestration, including Docker and AKS
Experience with key Azure services including: Entra ID, Blob Storage, Azure DNS, VMs, ACR, Functions, Azure Monitor
At least one active Azure certification, including Azure Solutions Architect Expert (AZ-305), Azure Administrator (AZ-104), and/or Azure DevOps Engineer Expert (AZ-400)
Ability to obtain and maintain a Secret clearance (U.S. citizenship required)

Comprehensive benefits and wellness packages
401K with company match
Competitive pay and paid time off
Full flex work weeks where possible
Variety of paid time off plans including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year
Paid Family Leave program providing a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees
Short and long-term disability benefits
Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance

Senior Azure Engineer

Key skills