or apply directly on Zscaler's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 60 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
As a Sr. Staff Backend Engineer at Zscaler, you will be responsible for developing and maintaining scalable backend services within a microservices architecture, primarily using Java/Spring Boot and Python. You will lead the design and implementation of data pipelines and ETL workflows, ensuring the reliable processing of large volumes of data. Collaboration with cross-functional teams and serving as a technical anchor for the team will also be key aspects of your role.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- 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
- Foundational understanding of AI/ML technologies
- 5+ years of proven backend software engineering experience building and shipping complex SaaS solutions in production
- Proficiency in Java/Spring Boot or a comparable high-level backend language
- Hands-on experience with data-intensive systems, including ETL pipelines, big data stores, and high-throughput data processing
- Proficiency in high-scale, multi-tenant cloud architecture, including microservices, Docker, Kubernetes, and workflow orchestration
- Proven ability to lead end-to-end technical work autonomously from design to deployment
Nice to have
- Demonstrate a proven ability to leverage AI technologies and workflows to drive measurable operational efficiency
- Experience designing and optimizing backend data infrastructure for large language model (LLM) workflows, retrieval-augmented generation (RAG) platforms, or AI-driven security analytics pipelines
- Experience as a team lead or tech lead
- B.Sc. in Computer Science or a related field
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 may require flexibility in work location
- Focus on AI/ML technologies may imply a need for continuous learning in that area
- No specific salary information provided
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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