Role OverviewAs an AI Infrastructure Engineer, you will be 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.
What You Will Do
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, and solve complex AKS issues.
Why It Might Be a Fit
You will have the opportunity to mentor junior AI Infrastructure Engineers, foster growth and development of team members, and improve team practices through tooling, documentation, and automation improvements.
Requirements
- 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 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
- Comprehensive total rewards package
- Inclusive culture that values diversity
- Career Coach to guide you in your career goals and aspirations
- Equal employment opportunities to all employees and applicants for employment
- Discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status
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