AI Infrastructure Engineer 3

Role Overview

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.

Responsibilities

• 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

• 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

Skills

• Terraform
• Kubernetes
• Azure Kubernetes Service (AKS)
• GitOps
• Azure DevOps