AI Infrastructure Engineer 3

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’re 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.

Job Description:

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’re 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.

About the Role

• 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 GitOps 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

Qualifications

• 3+ years of experience designing, operating, and scaling production Kubernetes platforms, with deep hands-on expertise in Azure Kubernetes Service (AKS).

• Must be comfortable working between 5:00 PM and 2:00 AM IST.

• Strong infrastructure-as-code experience using Terraform, with supplemental use of Crossplane and ARM templates.

• Demonstrated success implementing GitOps 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

Preferred Qualifications

• 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 DevOps and deploying to AKS and Azure services using Octopus Deploy.

• Kubernetes and/or Azure certifications (CKA, CKAD, Azure Architect, or similar).

• Demonstrated commitment to DevOps 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.

Our Benefits:
At Crowe, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you!
How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!
More about Crowe:

Crowe Capability Center – India, operating under the legal entity C3 India Delivery Centre LLP (formerly known as Crowe Horwath IT Services LLP) is a wholly owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world.

Crowe does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.

We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role’s responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination.