Senior AI Platform Engineer – AWS, Kubernetes & Terraform
Zscaler · Pune
| Company | Zscaler |
|---|---|
| Role | Senior AI Platform Engineer – AWS, Kubernetes & Terraform |
| Location | Pune |
| Work mode | Hybrid |
| Experience | 3–6 years |
| Job type | Full-time |
About this job
Zscaler is hiring a Senior AI Platform Engineer in Pune to build and run the AWS infrastructure behind its AI and ML workloads. You will work with a high degree of independence.
You will design infrastructure with Terraform, own GitLab CI/CD pipelines, set up Prometheus and Grafana monitoring and alerting, and track DORA metrics. Security, governance and production AI/RAG deployments are part of the job. The role is hybrid.
Eligibility
- 4+ years as a platform, SRE or DevOps engineer
- 1+ years supporting AI/ML or data platform infrastructure
- Deep AWS: EKS, Lambda, ECS, VPC, IAM and S3
- Terraform modules and remote state; GitLab CI/CD with runners
- Prometheus, Grafana, alerting and Kubernetes with Helm
Skills required
What you will do
- Build secure, highly available AWS infrastructure for AI
- Own GitLab CI/CD pipelines for AI platform services
- Set up central monitoring, dashboards and alerts
- Track DORA metrics and make infrastructure self-healing
- Apply security and governance and mentor engineers
How to apply
- Open the official Zscaler job page with the Apply button and submit your application there.
- Tailor your resume to AWS and Kubernetes platforms you ran for ML or data teams, and the reliability gains you made.
Before the interview, prepare:
- EKS: node groups, Karpenter, HPA and IAM roles for pods
- Terraform: module design, state locking and drift
- Golden signals and alert design to avoid noise
- DORA metrics: how you measure and improve each one
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