or apply directly on Zscaler's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 52 days Zscaler's roles stay open a median of 76 days
- Reposted
- No
- Salary listed
- No 0% of Zscaler's roles list one
- Ghost-job risk at Zscaler
- high 365 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
- 2026-10-23
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 Principal Software Development Engineer at Zscaler will lead the architecture and deployment of large-scale Generative AI platforms and intelligent agent systems. This hands-on role involves designing high-performance AI systems, building Model Context Protocol servers, and deploying containerized workloads using technologies like Docker and Kubernetes, while collaborating with multidisciplinary teams to ensure reliable AI capabilities.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 4/5
- 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
- Foundational understanding of AI/ML technologies
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 10+ years of software engineering experience
- Significant expertise in distributed systems, platform engineering, or machine learning infrastructure
- Proven experience building, deploying, and operating production-grade AI/ML or LLM systems at scale
- Strong expertise in Python and systems languages such as Go, C++, Rust, or Java
Nice to have
- Hands-on experience implementing AI safety, evaluation benchmarks, guardrails, and observability frameworks for LLMs in enterprise environments
- Strong experience in RAG systems, vector databases, embedding pipelines, and retrieval tuning
- Experience with inference and serving frameworks such as vLLM, Tensor RT-LLM, Triton, Ray Serve, or equivalent
What you get
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Worth weighing
- No salary listed
- Role involves significant ambiguity and requires a proactive approach
- Focus on AI systems may limit exposure to other areas of software engineering
Summarised from Zscaler's posting. Read the full original.
Listed by Zscaler on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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