Principal Software Engineer - ZDX Data & AI

Operator of the world's largest security cloud, protecting enterprise customers through the AI-powered Zero Trust Exchange platform.
$175,000 - $250,000
Cloud
Principal Software Engineer
Hybrid
1,000 - 5,000 Employees
10+ years of experience
Cybersecurity · Enterprise SaaS · AI

Description For Principal Software Engineer - ZDX Data & AI

Zscaler, the world's largest cloud security platform operator, is seeking a Principal Software Engineer to lead technical initiatives in ZDX Data & AI. Founded in 2007, Zscaler serves thousands of enterprise customers, including 40% of Fortune 500 companies, through its AI-powered Zero Trust Exchange platform. The role involves architecting and building scalable distributed systems with a focus on automation, user experience, and resilience.

The position requires deep expertise in cloud platforms (AWS/Azure), Kubernetes, and Linux systems. You'll be working with a team that has secured over 100 patents and serves more than 15 million users across 185 countries. The ideal candidate will have 10+ years of experience in platform engineering, strong programming skills in Go/Python/Java, and extensive knowledge of cloud-native architectures.

As a Principal Engineer, you'll shape the future of cloud security while working with cutting-edge technologies in a collaborative, fast-paced environment. The role offers competitive compensation ($175,000-$250,000), comprehensive benefits, and the opportunity to work with some of the brightest minds in the industry. Based in San Jose, CA, this hybrid position requires 3 days per week in office.

Zscaler promotes a diverse and inclusive workplace, offering extensive benefits including health plans, parental leave, retirement options, and education reimbursement. Join a team that values innovation, security, and making the cloud a safer place for global business.

Last updated 2 months ago

Responsibilities For Principal Software Engineer - ZDX Data & AI

  • Architect and build robust, scalable distributed systems
  • Design and optimize cloud-native solutions using AWS and Azure
  • Design, deploy, and manage containerized applications using Kubernetes
  • Manage systems running on Linux

Requirements For Principal Software Engineer - ZDX Data & AI

Go
Python
Java
Kubernetes
Linux
  • 10+ years of experience in platform engineering with focus on distributed systems
  • Proficiency in Go, Python, or Java
  • Hands-on experience with AWS or Azure
  • Strong expertise in Kubernetes and its ecosystems
  • Solid understanding of networking protocols
  • Advanced Linux-based systems expertise
  • Understanding of complex system architectures and design patterns

Benefits For Principal Software Engineer - ZDX Data & AI

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
401k
Education Budget
  • Various health plans
  • Vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks

Interested in this job?

Jobs Related To Zscaler Principal Software Engineer - ZDX Data & AI

Principal Engineer - ZDX Data & AI

Principal Engineer position at Zscaler leading ZDX Data & AI initiatives, focusing on cloud architecture and distributed systems with competitive compensation.

Principal Software Engineer - ZDX Data & AI

Principal Software Engineer position at Zscaler leading ZDX Data & AI initiatives, focusing on cloud-native solutions and distributed systems with hybrid work in San Jose.

Principal Network Developer 4 - Ai2 Network Operations (RDMA)

Principal Network Developer position at Oracle focusing on cloud infrastructure operations, networking, and automation with competitive compensation and benefits.

Senior Principal Network Developer 5 - Ai2 Network Operations (RDMA)

Senior Principal Network Developer role at Oracle leading RDMA network operations and automation initiatives for global cloud infrastructure.

Senior Principal Software Engineer, Cloud Performance

Senior Principal Software Engineer role at Oracle Cloud Infrastructure focusing on cloud performance optimization and technical leadership.