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Zscaler

Senior Staff Platform Engineer

Zscaler · Bangalore, IND; Pune, IND

Posted about 2 months ago

or apply directly on Zscaler's site. We never take the application ourselves.

Is this posting real?

This role has been open
59 days
Zscaler's roles stay open a median of 55 days
Reposted
No
Salary listed
No
0% of Zscaler's roles list one
Ghost-job risk at Zscaler
high
246 stale, 19 reposted of 370 open
Hiring momentum
564 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-02

Measured from postings appearing on and disappearing from Zscaler's own greenhouse board since 2026-08-03. Full hiring picture for Zscaler.

About this role

The Senior Staff AI Platform Engineer at Zscaler will design, scale, and maintain cloud infrastructure for AI/ML workloads, focusing on automation, observability, and governance. This role involves building secure AWS infrastructure, managing CI/CD pipelines, and implementing observability tools while collaborating with AI and data engineering teams. The engineer will also mentor junior staff and drive improvements in delivery and reliability metrics.

Our read on this posting2.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Zscaler as an employer.

What you need

  • 8+ years of experience as a Platform Engineer / Site Reliability Engineer / DevOps Engineer
  • 3+ years supporting AI/ML or data platform infrastructure
  • Deep hands-on expertise in AWS (EKS, Lambda, ECS, VPC, IAM, S3)
  • Strong hands-on experience with Infrastructure as Code using Terraform
  • Experience designing and maintaining CI/CD pipelines with GitLab CI/CD
  • Proven expertise in centralized observability using Prometheus and Grafana

Nice to have

  • Experience with LiteLLM
  • Knowledge of vector database platforms (Qdrant, Pinecone, Weaviate)
  • Exposure to GitOps workflows (ArgoCD/Flux)
  • Familiarity with cloud cost optimization (FinOps)
  • Experience with security/compliance frameworks (SOC 2, ISO 27001)

What you get

  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks

Worth weighing

  • On-site role in Bangalore/Pune
  • Focus on AI/ML workloads may limit exposure to other technologies
  • High expectations for collaboration and ownership may require strong interpersonal skills

Summarised from Zscaler's posting. Read the full original.

Listed by Zscaler on their greenhouse job board, last confirmed open on 2026-10-02. PitchMeAI is not the employer.

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