Zscaler
Senior Manager, Software Development Engineering
$212K–$265K
Santa Clara, California, USA · Manager · Full-time · Posted Oct 21, 2026
- Experience
- 7+ years leading software development teams; 5+ years in cloud deployment and operations; 3+ years with hyperscalers such as AWS.
- Education
- Bachelor’s or Master’s degree in Computer Science or a related technical field.
About the job
Leads the engineering team responsible for scaling Zscaler’s Client Connector Portal service, guiding architecture and design, cloud operations, service ownership, and product roadmap delivery.
What you'll do
- Lead the software development team and work with product and operations peers, embracing the AI Development Lifecycle.
- Guide architecture and design; oversee cloud operations, including upgrades, scalability improvements, and troubleshooting.
- Transition the team to full service ownership and partner with product management on the roadmap.
What they ask for
- 7+ years building and leading software development teams developing Enterprise applications with the Java stack.
- 5+ years of experience with cloud-based deployment and cloud operations; 3+ years working with hyperscalers such as AWS.
- Bachelor’s or Master’s degree in Computer Science or a related technical field; strong knowledge of the Java stack, SSL, and MySQL.
- Hands-on proficiency with Java, Python and shell scripting; foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions.
Nice to have
- Proven ability to use AI technologies and workflows to drive measurable operational efficiency; current experience with the AI Development Lifecycle (AIDLC) in software delivery.
- In-depth knowledge of Kubernetes and microservices architectures; US Citizenship is a plus.
Pay
$212,000 — $265,000 USD (base salary)
Tools
Java, SSL, MySQL, Python, shell scripting, AWS, Kubernetes
AI focus
Lead the team using the AI Development Lifecycle; apply AI/ML technologies and AI-driven solutions, with preferred experience using AI workflows to improve operational efficiency.
Model-written summary · the original posting is authoritative