Sr. Staff Software Development Engineer-AI Security (Network, Security, LLM)
Zscaler · Bellevue, Washington, USA; San Jose, California, USA
Posted about 3 months ago
or apply directly on Zscaler's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Zscaler's roles stay open a median of 75 days
- Reposted
- No
- Salary listed
- No 0% of Zscaler's roles list one
- Ghost-job risk at Zscaler
- high 361 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
- 2026-10-22
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 Sr. Staff Software Development Engineer-AI Security role at Zscaler involves designing and implementing core infrastructure components for an AI security solution. The position requires collaboration across development teams to innovate and enhance security infrastructure, focusing on building scalable and resilient systems using Rust and gRPC. This hybrid role emphasizes ownership, problem-solving, and continuous learning in a dynamic environment.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- 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
- 8+ years of software engineering experience
- Deep experience in systems programming using Rust, focusing on asynchronous frameworks such as Tokio or async-std
- Proven ability to design and implement horizontally scalable, highly available, and observable distributed systems
- Strong command of Linux internals, including kernel-user space interaction, networking, sockets, and namespaces
- Skill in performance instrumentation, containerized environments, Git workflows, and CI/CD pipelines
Nice to have
- Experience architecting real-time threat detection, input/output sanitization, or guardrail execution frameworks for LLM and generative AI applications
- Expert in systems languages such as C/C++ or Rust with a focus on performance optimization
- Deep understanding of Linux networking stacks, Kubernetes networking, service meshes, and LLM model optimization
- Practical experience with gRPC, Protobufs, and L4-L7 networking protocols, including TCP/IP, TLS, QUIC, HTTP, and WebSockets (WSS)
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
- Hybrid role with a 3 days in office requirement
- No specific mention of the tech stack beyond Rust and gRPC, which may imply a focus on specific technologies
- Salary range provided but does not include commission, bonus, or equity details
Summarised from Zscaler's posting. Read the full original.
Listed by Zscaler on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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