Skills this job asks for
AgileProduct managementMachine learningJavaREST APIsSpringNetworkingDockerKubernetes
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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What Zscaler INC paid sponsored hires in similar roles63 certified filings for “Sr.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 roles
- 63 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).
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.
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 looking for a Staff Software Engineer to join our team. This is a Hybrid (3 days a week in San Jose, CA) role, reporting to the Senior Director, Engineering in the IAM department. Identity has become the new security perimeter, and in this role, you will develop workflows and application integrations in collaboration with the broader IAM team, Product Management, and Business teams. You will be responsible for the design and development of enterprise-grade Identity Management Products for Zscaler, helping organizations worldwide harness speed and agility with a cloud-first strategy.
What you’ll do (Role Expectations)
• Design and develop enterprise-grade Identity Management Products for Zscaler
• Participate in the design and implementation of core product functionality and key technical initiatives
• Mentor junior engineers with software development best practices
• Help maintain our positive culture as a collaborative and supportive teammate
• Collaborate across teams to deliver projects from inception to production
Who You Are (Success Profile)
• You thrive in ambiguity. You are comfortable building the path as you walk it, viewing dynamic environments as opportunities to construct meaningful solutions.
• You act like an owner. You operate with a strong sense of ownership, bringing passion for the mission, high integrity, and the capability to navigate between high-level strategy and hands-on execution.
• You are a proactive problem-solver. You run toward challenges and remain laser-focused on finding solutions that deliver high-impact outcomes.
• You build high-trust collaboration. You prioritize team success, welcome feedback, and practice clear, respectful candor to establish strong partnerships.
• You maintain a continuous growth mindset. You actively seek feedback and development opportunities to grow as a partner, teammate, and purpose-driven leader.
What We’re Looking for (Minimum Qualifications)
• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• 6+ years of hands-on experience in application architecture and development
• Expert-level technical knowledge of Enterprise Java, OOP, OOA, systems architecture, RESTful APIs, and related frameworks such as Hibernate and Spring
• Strong knowledge of Identity and Access Management protocols, specifically SAML, OAuth, and OpenID Connect
• Experience developing enterprise-grade Security or Networking products
What Will Make You Stand Out (Preferred Qualifications)
• Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency
• Knowledge of D
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