6 days ago
Hyderābād, IndiaSenior
Responsibilities
- Architect reusable Terraform modules and Crossplane compositions for multi-environment use.
- Design and maintain multi-environment GitOps structures with FluxCD.
- Engineer advanced Azure DevOps pipeline patterns, including multi-stage, gated, and reusable templates.
- Solve complex Azure Kubernetes Service issues involving networking, scaling, controllers, and identity integration.
- Implement and maintain workload identity patterns for AKS workloads.
- Define and operate observability standards covering monitoring, alerting, and SLI/SLOs.
- Improve team practices through tooling, documentation, and automation.
- Perform technical reviews for quality, security, and consistency.
- Mentor junior AI Infrastructure Engineers through knowledge-sharing, code review, and best-practice leadership.
Requirements
- At least 3 years of experience designing, operating, and scaling production Kubernetes platforms, with deep hands-on Azure Kubernetes Service experience.
- Strong infrastructure-as-code experience with Terraform and supplemental experience with Crossplane and ARM templates.
- Demonstrated experience implementing GitOps operating models with desired-state enforcement, drift detection, and multi-environment promotion.
- Experience with observability tools and standards such as Azure Monitor, Log Analytics, Prometheus, Grafana, monitoring, alerting, and SLI/SLOs.
- Experience with at least one cloud computing platform; Microsoft Azure experience is preferred.
- Experience with serverless functions such as OpenFaaS.
- Bachelor's degree.
- Solid understanding of Azure identity and access management, including Managed Identities, service principals, and AKS Workload Identity.
- Hands-on experience provisioning and supporting Azure Storage Accounts, Key Vault, ACR, 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 or Azure certifications such as CKA, CKAD, or Azure Architect are preferred.
- Experience with machine learning projects in industry, academia, or personal work is preferred.
- Ability to uphold Crowe's values and act ethically and with integrity.
Benefits
- Comprehensive employee benefits package.
- Inclusive culture supporting diversity, career growth, and regular career coaching.
- Work schedule must accommodate 5:00 PM to 2:00 AM IST.
Tech Stack
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