Job Description
Azure Terraform Specialist with Kubernetes exp.
Looking for candidates who has specifically done 'Manual-to-IaC' migrations and can write complex Azure modules from scratch.
Candidates who can write terraform code will be a success”.
Location : Chennai
Exp - 12+ years
The "Anti-Profile" (What we DO NOT want):
- AWS Specialists: Do not send candidates whose primary experience is EKS/AWS with only "basic" Azure exposure.
- Theoretical/Reading Candidates: We will immediately reject anyone who appears to be reading from a screen or providing textbook definitions during the L1.
Detailed requirement as below :
1. Non-Negotiable: AKS (Azure Kubernetes Service)
- Depth Required: Must have managed production clusters (not just learning environments).
- Specific Skills: Experience with Azure CNI, HPA/VPA, Ingress Controllers (Nginx/AGIC), and Node Pool lifecycle management.
- The Test: They must be able to explain how they handle a "Pod Pending" state or an "ImagePullBackOff" in a locked-down enterprise network.
2. Tooling Priority: Flux CD & Helm
- GitOps: We need Flux CD experience. If they only know "Push" pipelines (Jenkins/ADO), they are a secondary fit. We want someone who understands automated reconciliation loops.
- Helm: Must be able to author and troubleshoot Helm charts, not just run helm install.
3. Observability: Dynatrace
- Requirement: Hands-on with Dynatrace.
- Competency: Setting up Service Level Objectives (SLOs), Management Zones, and using Davis AI for root cause analysis. (Generic Prometheus/Grafana knowledge is good but Dynatrace is the target).
4. Infrastructure as Code: Terraform *(Important)
- Level: Advanced. Must be comfortable with Terraform State management, importing manual resources into code, and building reusable modules.
5. The "Anti-Profile" (What we DO NOT want):
- AWS Specialists: Do not send candidates whose primary experience is EKS/AWS with only "basic" Azure exposure.
- Theoretical/Reading Candidates: We will immediately reject anyone who appears to be reading from a screen or providing textbook definitions during the L1.
Pay: ₹1,900,000.00 - ₹2,300,000.00 per year
Work Location: In person
