AI Infrastructure Engineer

About the Role

As an AI Infrastructure Engineer, you are a deep technical contributor with subsystem ownership and notable technical influence.

• Ensure AI solutions are consistent, secure, and reliable.
• Architect reusable Terraform modules and Crossplane compositions for multi‑environment use.
• Design and maintain multi‑environment Git Ops structures with FluxCD.
• Engineer advanced Azure Dev Ops (ADO) pipeline patterns (multi‑stage, gated, reusable templates).
• Solve complex AKS issues (networking, scaling, controllers, identity integration).
• Implement and maintain workload identity patterns for AKS workloads.
• Improve team practices through tooling, documentation, and automation improvements.
• Perform technical reviews to ensure quality, security, and consistency.
• Mentor junior AI Infrastructure Engineers, fostering growth and development of team members through knowledge‑sharing and constructive code review.

• Proven experience designing, operating, and scaling production Kubernetes platforms, with deep hands‑on expertise in Azure Kubernetes Service (AKS).
• Strong infrastructure‑as‑code experience using Terraform, with supplemental use of Crossplane and ARM templates.
• Demonstrated success implementing Git Ops operating models, including desired‑state enforcement, drift detection, and multi‑environment promotion.
• Experience defining and operating observability standards, including monitoring, alerting, and SLI/SLOs using Azure Monitor, Log Analytics, Prometheus, and Grafana.
• Experience with at least one Cloud Computing platform;
  Azure experience is a plus.
• Experience with serverless functions (e.g., OpenFaaS).
• Bachelor’s degree.

• Solid understanding of Azure identity and access management, including Managed Identities, service principals, and AKS Workload Identity.
• Hands‑on experience provisioning and supporting Azure resources such as Storage Accounts, Key Vault, Azure Container Registry, networking (VNets, private endpoints), and monitoring services.
• Experience designing and operating CI/CD pipelines using Azure Dev Ops and deploying to AKS and Azure services using Octopus Deploy.
• Kubernetes and/or Azure certifications (CKA, CKAD, Azure Architect, or similar).
• Demonstrated commitment to Dev Ops best practices and continuous improvement.
• Experience with AI and machine learning projects beyond reading blog posts.

$94,500.00 – $ per year

Comprehensive total rewards package, including health, retirement, and wellness benefits.

Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.

10/01/2026