Senior AI Platform Engineer
Zscaler, Inc. (company site, opens in a new tab)4+ yrsPuneOn-siteDirect career pageEst. 20–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable, secure, highly available AWS infrastructure optimized for AI/ML workloads using Terraform and GitLab CI/CD.
- Architect and manage centralized observability systems with Prometheus and Grafana, implement alerting strategies, and track DORA metrics to improve platform reliability and delivery.
- Ensure infrastructure security and governance; collaborate with AI/ML teams on production deployments; mentor junior/mid-level engineers.
Minimum Requirements
- 4+ years as Platform, SRE, or DevOps Engineer; minimum 1 year supporting AI/ML or data platform infrastructure.
- Deep hands-on AWS expertise with EKS, Lambda, ECS, VPC, IAM, S3.
- Strong experience with Terraform (modules, workspaces, remote state) and GitLab CI/CD pipeline design/maintenance.
- Proven skills in Prometheus and Grafana monitoring with alerting systems and understanding of DevOps/DORA metrics.
Ideal Candidate Profile
- Expert in AWS cloud-native architectures for high-demand AI/ML environments with strong automation skills across infrastructure and CI/CD.
- Proactive in diagnosing and improving platform reliability using observability tools and DORA metrics with capability to resolve production issues efficiently.
- Experienced collaborating cross-functionally with AI/ML and data teams, capable of independent ownership of complex infrastructure projects and mentoring others.