Senior Staff Software Engineer – Identity Management

Job Description

Sr. Staff Software Development Engineer | Confidential Employer

The Tone:
This is a hybrid role at Zscaler, located in San Jose, CA. Zscaler builds the Zero Trust Exchange platform, the world’s largest in-line cloud security platform, which protects customers from cyberattacks and data loss by securely connecting users, devices, and applications. This role is crucial in the IAM department, where you will develop enterprise-grade Identity Management Products for Zscaler, helping organizations achieve agility with a cloud-first strategy. This position contributes to an AI-native enterprise, amplifying human potential with machine intelligence to solve security challenges.

The TL;DR
• Role: Full Time
• Type: Hybrid
• Location: Hybrid – San Jose, CA
• Pay: $157500–$225000 yearly
• Team: Reports to the Senior Director, Engineering in the IAM department.
• Mission: Design and develop enterprise-grade Identity Management Products that define the new security perimeter for organizations.
• Tech Stack: Enterprise Java, OOP, OOA, RESTful APIs, Hibernate, Spring, SAML, OAuth, OpenID Connect, Docker, Kubernetes, container infrastructure, Java reactive programming

What You’ll Actually Do
• Develop: Design and develop enterprise-grade Identity Management Products for Zscaler.
• Contribute: Participate in the design and implementation of core product functionality and key technical initiatives.
• Guide: Mentor junior engineers with software development best practices.
• Collaborate: Collaborate across teams to deliver projects from inception to production.
• Maintain: Help maintain a positive culture as a collaborative and supportive teammate.

The Must-Haves
• Background: Senior-level career with a foundational understanding of AI/ML technologies and core domain knowledge in Identity and Access Management (IAM).
• Experience: 8+ years of hands-on experience in application architecture and development; experience developing enterprise-grade Security or Networking products. Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency.
• Skills: 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.
• Bonus: Knowledge of Docker, Kubernetes, and container infrastructure; experience with Java reactive programming.