Senior Manager, Software Development Engineering

Zscaler•San Jose, CA

6d•$212,000 - $265,000•Onsite

About The Position

As the Senior Manager of Software Test Engineering for the Zero Trust Exchange organization at Zscaler, you will play a critical role in driving our visionary innovation over the next decade. Reporting directly to the Senior Director of Software Engineering, you will lead a high-performing team in rapidly scaling the Zscaler Client Connector Portal service. In this San Jose, CA-based role, you will work closely with the executive team to deliver cutting-edge services that transform the industry. 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.

Requirements

Experience integrating AI-driven methodologies or AI Development Lifecycle (AIDLC) principles into software development and QA workflows
7+ years of experience building, leading and scaling Quality Assurance or software engineering teams
5+ years of experience working with cloud-based deployments and cloud operations
3+ years of experience with hyperscale cloud platforms, specifically AWS
Bachelor's or Master's degree in Computer Science or a related technical field
Hands-on experience writing Python and shell scripts for automation and with proficiency in Java, SSL, and MySQL

Nice To Haves

Current, hands-on experience utilizing AI Development Lifecycle (AIDLC) methodologies to optimize software delivery
In-depth, advanced knowledge of Kubernetes and microservices architectures
U.S. citizenship - work scope can include working in a federal environment

Responsibilities

Lead the Quality Assurance team to embrace the AI Development Lifecycle while collaborating closely with peer product and operations teams
Direct cloud operations including upgrades, scalability improvements, and troubleshooting to ensure optimal service performance
Drive the transition of the engineering team to a comprehensive, full-service ownership model
Partner with product management to define, refine, and execute the strategic product roadmap