Senior Manager, AI-Driven QA & Cloud

Zscaler, Inc.; San Jose, Northern (CA, KY); Hybrid; USD 212,000 - 265,000; Full time

Benefits offered by this job

Time off plans

Parental leave options

retirement options

In-office perks

Job summary

Zscaler, Inc. in San Jose, CA, seeks a Senior Manager of Software Test Engineering to lead the Zero Trust Exchange QA team and drive AI Development Lifecycle adoption for scalable cloud services.

You will collaborate with product, operations, and executive leadership to deliver high-impact testing strategies and automation in a fast-paced environment. The role requires 7+ years guiding QA or engineering teams, strong Python/ Shell automation, and experience with AWS cloud deployments.

Qualifications

• Experience applying AI Development Lifecycle into software QA workflows.
• 7+ years building, leading, scaling QA or software engineering teams.
• 5+ years cloud-based deployments and operations.
• 3+ years with hyperscale cloud platforms, specifically AWS.
• Bachelor's or Master's in CS or related field.
• Hands-on automation in Python, shell; proficient in Java, SSL, MySQL.

Responsibilities

• Lead QA team to embrace the AI Development Lifecycle with cross-functional teams.
• Direct cloud operations, upgrades, scalability improvements, and troubleshooting.
• Drive transition to a comprehensive, full-service ownership model across engineering.
• Partner with product management to define, refine, and execute the strategic product roadmap.

Skills

AI Development Lifecycle

QA Leadership

Cloud Deployments

AWS

Python

Shell Scripting

Java

SSL

MySQL

Education

Bachelors/Masters in CS

Job description

Zscaler, Inc. in San Jose, CA, seeks a Senior Manager of Software Test Engineering to lead the Zero Trust Exchange QA team and drive AI Development Lifecycle adoption for scalable cloud services.

You will collaborate with product, operations, and executive leadership to deliver high-impact testing strategies and automation in a fast-paced environment. The role requires 7+ years guiding QA or engineering teams, strong Python/ Shell automation, and experience with AWS cloud deployments.