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AI Infrastructure Engineer, Level 3
CroweAI Infrastructure Engineer contributing to AI solutions, ensuring consistency, security, and reliability in architecture and design. Mentoring junior engineers and improving team practices at Crowe.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and operating Kubernetes platforms, particularly with Azure Kubernetes Service (AKS), while implementing infrastructure-as-code practices using Terraform and Crossplane. Capable of mentoring team members and improving operational practices through automation and documentation.
Highest-signal resume keywords
Azure Kubernetes Service (AKS)TerraformGitOpsObservability StandardsCloud Computing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesInfrastructure-as-CodeTerraform ModulesCrossplaneGitOps StructuresADO Pipeline PatternsWorkload Identity PatternsMonitoringAlertingServerless Functions
Soft Skills
MentoringKnowledge-SharingConstructive Code Review
Tools & Technologies
FluxCDAzure MonitorLog AnalyticsPrometheusGrafana
Industry Keywords
AI InfrastructureMulti-Environment PromotionDesired-State EnforcementDrift DetectionProduction Scaling
Tech Stack
Tools & technologiesAzureCloudGrafanaKubernetesPrometheusTerraform
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