AI Infrastructure Engineer

Your Journey at Crowe Starts Here

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you are trusted to deliver results and make an impact. We embrace you for who you are, care for your well‑being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups.

That’s why we continuously invest in innovative ideas, such as AI‑enabled insights and technology‑powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

• As an AI Infrastructure Engineer, you are a deep technical contributor with subsystem ownership and notable technical influence. Your role will be crucial in ensuring that the AI solutions you contribute to 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 ADO pipeline patterns (multi‑stage, gated, reusable templates).
• Solve complex AKS issue (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, constructive code review, and by setting the standard for best practices.

• 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 tools such as Azure Monitor, Log Analytics, Prometheus, and Grafana.
• Experience with at least one Cloud Computing platform (experience with Microsoft Azure 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, ACR, 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.
• You want to stay fresh with regards to practicing engineering. Continuous improvement is a mantra for you as any system you work with gradually improves over time.
• You enjoy AI and machine learning. You've gone deeper than reading blog posts, ideally having several example machine learning projects you can speak to within industry, academia, or your free time.

We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.

The Final date to receive applications for this role is 10/01/2026.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the…