Jobs / United States / Zscaler INC
Staff Software Development Engineer
Zscaler INC · 🇺🇸 San Jose, California, USA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 129 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 36 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Zscaler INC paid sponsored hires in similar roles63 certified filings for “Sr. Staff Software Development Engineer” (Software Developers) in CA: $175k–$224k, median $200k. Most were filed at wage level IV (86%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Zscaler INC
The US Department of Labor certified 129 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 36 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Zscaler INC →
About the role
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are seeking an exceptional and technically grounded Senior Manager, Software Development Engineering to lead our core Data Loss Prevention (DLP) engineering team within the Zero Trust Exchange department. Based in San Jose, CA, and reporting to the Senior Director, Software Development Engineering, you will lead the architecture, design, and delivery of high-throughput, low-latency DLP engines, dictionary matching systems, and intelligent content inspection pipelines running in C across FreeBSD and Linux environments. In this role, you will balance strategic leadership with deep systems rigor, bridging deterministic inspection mechanisms with next-generation Named Entity Recognition (NER) and ML models while navigating real-time inline performance trade-offs. What you'll do (Role Expectations) • Manage, mentor, and grow a world-class team of systems software engineers and principal architects responsible for high-performance DLP engines, dictionary compilers, and distributed incident processing pipelines • Own the technical direction and engineering execution for line-rate pattern matching, regular expression evaluators, custom dictionary compilers, exact data match (EDM), and indexed document matching (IDM) running in production proxy runtimes • Guide the evaluation, operationalization, and performance boundary testing of Named Entity Recognition (NER) and ML models, balancing inspection accuracy and tokenization against strict network latency, compute complexity, and memory footprints • Maintain exacting standards for multi-threaded C daemons on FreeBSD/Linux, architecting robust shared memory structures, high-performance Inter-Process Communication (IPC), lockless concurrency, and memory-safe subsystems • Serve as the technical escalation authority for critical production issues—championing post-mortem core dump analysis, system profiling, and leak detection—while overseeing scalable DLP incident streaming, forensic logging, and enterprise SIEM/SOAR integrations Who You Are (Success Profile) • You act like an owner, bringing a deep passion for the mission and a strong bias for action that allows you to seamlessly transition between high-level strategy and hands-on execution. • You are a natural problem-solver who is energized by finding solutions to complex technical challenges, knowing that solving the hardest problems yields the greatest impact. • You are a high-trust collaborator who champions transparency, embraces constructive feedback, and prioritizes team success to build deep, respectful partnerships. • You think at scale, always connecting engineering efforts to the broader company mission and designing systems, processes, and teams built to sustain a hig