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Crowe

AI Infrastructure Engineer, Level 3

Crowe

AI Infrastructure Engineer contributing to AI solutions, ensuring consistency, security, and reliability in architecture and design. Mentoring junior engineers and improving team practices at Crowe.

Posted 7/1/2026full-timeNoida • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureCloudGrafanaKubernetesPrometheusTerraform

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • We value our people and offer employees a comprehensive benefits package

ATS Keywords

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Hard Skills & Tools
KubernetesInfrastructure-as-CodeTerraform ModulesCrossplaneGitOps StructuresADO Pipeline PatternsWorkload Identity PatternsMonitoringAlertingServerless Functions
Soft Skills
MentoringKnowledge-SharingConstructive Code Review