Zscaler

Staff Software Engineer (Python/Go, Cloud Network Security, Controlplane)

Zscaler$129K — $185K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of software development experience in large-scale applications using Python or Golang
  • Foundational understanding of AI/ML technologies with application in functional areas
  • Hands-on experience with AWS, GCP, or Azure cloud services
  • Solid knowledge of cloud networking (Transit Gateway, IGW, NATGW, etc.)
  • Strong software design and optimization skills for performance and scalability

Responsibilities

  • Define software design specifications and write bug-free code using modern AI tools
  • Refactor existing code for better maintainability and reusability
  • Collaborate with cross-functional teams including Security, UI, and Quality Assurance
  • Partner with Product Management to clarify product requirements
  • Diagnose and resolve complex customer issues

Benefits

  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks
Full Job Description
Role

We are looking for a Staff Software Development Engineer (Controlpath) to join our team. This is a hybrid role, reporting to the Director, Software Development Engineering in the Engineering department. We are expanding our existing control path and looking for a software engineer to help drive the development of new features and enhanced functionality. You will play a pivotal role in evolving our architecture to ensure it meets the demands of our growing user base.

What you'll do (Role Expectations)
  • Define software design specifications and implement bug-free code using test-driven methodology and modern AI-based coding tools
  • Look for opportunities to refactor existing code in the interest of maintainability and reusability
  • Collaborate closely with cross-functional engineering teams including Security, UI, Platform, Analytics, and Quality Assurance
  • Partner with Product Management to drive detailed product requirements
  • Diagnose complex customer issues and take full ownership of issue resolution

Who You Are (Success Profile)
  • You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
  • You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
  • You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
  • You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
  • You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We're Looking for (Minimum Qualifications)
  • Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
  • 5+ years of software development experience building large-scale, reliable, and scalable applications, preferably using Python or Golang
  • Hands-on experience with popular public cloud services infrastructure offerings such as AWS, GCP, or Azure
  • Solid knowledge of cloud networking, specifically Transit Gateway, IGW, NATGW, NACL, security groups, GWLB, ILB, Route53, and Azure DNS
  • Strong software design, profiling, and verification skills with exposure to optimizing for scale and performance

What Will Make You Stand Out (Preferred Qualifications)
  • Experience implementing AI-driven automation or predictive scaling algorithms within distributed control path architectures
  • Strong distributed systems and SaaS development experience
  • Deep knowledge of Firewalls and Networking protocols

#LI-Hybrid #LI-KM9

Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.

The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.

Base Pay Range

$129,500-$185,000 USD

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks, and more!


Learn more about Zscaler's hybrid working model and benefits here.

About Zscaler

Zscaler is a cloud-based information security company that provides Internet security, web security, firewalls, sandboxing, SSL inspection, antivirus, vulnerability management and granular control of user activity in cloud computing, mobile and Internet of things environments. The company is headquartered in San Jose, California, and has offices in Australia, India, Japan, Singapore, the United Kingdom, and the United States.
Learn more about Zscaler
Size
3,153 employees
Market Cap
$15.5 billion
Industry
Net Income
-$191.4 million
Founded
2008
5 Year Trend
+54.1%
Revenue
$536 million
NASDAQ

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