Staff SWE, Machine Learning Platform at Zscaler (South Bay)

| South Bay | Hybrid
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Company Description

Zscaler (NASDAQ: ZS) accelerates digital transformation so that customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange is the company’s cloud-native platform that protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. 

With more than 10 years of experience developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers around the world, including 450 of the Forbes Global 2000 organizations. In addition to protecting customers from damaging threats, such as ransomware and data exfiltration, it helps them slash costs, reduce complexity, and improve the user experience by eliminating stacks of latency-creating gateway appliances. 

Zscaler was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. Zscaler’s purpose-built security platform puts a company’s defenses and controls where the connections occur—the internet—so that every connection is fast and secure, no matter how or where users connect or where their applications and workloads reside.

Job Description

As a Staff Software Engineer, you will work in an award-winning team that does full-lifecycle full-stack Machine Learning platform development.

  • You will be working with the massive scale of network data, security data, and enterprise data every day. 
  • You need to have a passion for building out tools and platforms, processing and analyzing data at scale, and solving real-world business problems.
  • You may not have prior data science and ML background but need to build up knowledge in this area and tremendous curiosity in how the data can and will be utilized by the data scientist. 
  • As a backend software engineer within our Machine Learning platform, your primary responsibilities include the following:
    • You will help build large-scale distributed systems to support the Machine Learning pipeline, including data collection, feature engineering, model training, model evaluation, model deployment, and real-time service. 
    • You will apply analytical and math/statistics skills to stay on top of data and to ensure results are coherent and reliable.
    • You will solve complex real-world business problems (e.g., threat detection, automation, and business intelligence) by working closely with various stakeholders including data scientists, product management, and product engineering teams.


  • Very strong algorithm, data structure, computer science foundation 
  • 5+ years of industry experiences in software engineering, building quality software by writing robust interfaces, considering design principles, and applying sound testing practices
  • 3+ years of industry experiences in Python and SQL
  • 3+ years of industry experience using distributed data processing such as Spark, BigQuery, or Apache Beam
  • 3+ years of industry experience with various cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow). 
  • 3+ years of industry experience with Docker, Kubernetes, and event messaging such as Kafka, RabbitMQ, etc
  • Bachelor or Master's Degree in Computer Science required, data science concentration is a plus; PhD is preferred
  • Excellent understanding of operating systems and distributed systems.
  • Excellent interpersonal, technical, and communication skills
  • Very good business sense.
  • Ability to learn, evaluate, and adopt new technologies fast

Desirable Skills:

  • Experience with Go, C++, or Javascript
  • Experience with setting up SQL/NoSQL database such as Postgres, MongoDB, Redis, and table schema
  • Experience with machine learning or deep learning related toolset/frameworks, such as Pandas, Numpy, Scikit-learn, TensorFlow, PyTorch, etc.
  • Familiarity with networking and networking security

Additional Information

All your information will be kept confidential according to EEO guidelines.


What You Can Expect From Us:

  • An environment where you will be working on cutting edge technologies and architectures
  • A fun, passionate and collaborative workplace
  • Competitive salary and benefits, including equity

Why Zscaler?
People who excel at Zscaler are smart, motivated and share our values. Ask yourself: Do you want to team with the best talent in the industry? Do you want to work on disruptive technology? Do you thrive in a fluid work environment? Do you appreciate a company culture that enables individual and group success and celebrates achievement? If you said yes, we’d love to talk to you about joining our award-winning team. 
Additional information about Zscaler (NASDAQ: ZS ) is available at 

Zscaler is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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Technology we use

  • Engineering
  • Sales & Marketing
    • C#Languages
    • C++Languages
    • JavaLanguages
    • JavascriptLanguages
    • PythonLanguages
    • PipedriveCRM
    • MarketoLead Gen

An Insider's view of Zscaler

What are some social events your company does?

Here at Zscaler, we know how to have fun! Many of us participate in events ranging from celebrating cultural events, Intern Expos, Family Fun Day, International Women's day, to organizational off-sites.

We are able to find ways to celebrate anything from annual Employee Work Anniversaries to being recognized as a Great Place to Work company!


Talent Ops Specialist

What kinds of technical challenges do you and your team face?

One challenge my team faces is staying ahead in the ever-changing tech landscape. We’re tackling this by building a library of widgets, or carefully designed, reusable pieces of code, so we can keep our tech stack dynamic. The goal is to be able to plug these widgets into any of our products, reducing redundancy and keeping things loosely coupled.


Software Engineer

What are Zscaler Perks + Benefits

Volunteer in local community
Friends outside of work
Eat lunch together
Intracompany committees
Open door policy
Team owned deliverables
Team based strategic planning
Open office floor plan
Unconscious bias training
Diversity Employee Resource Groups
Hiring Practices that Promote Diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Dental Benefits
Vision Benefits
Health Insurance Benefits
Pet Insurance
Onsite Gym
Retirement & Stock Options Benefits
Company Equity
Employee Stock Purchase Plan
Vacation & Time Off Benefits
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Company Outings
Game Room
Stocked Kitchen
Some Meals Provided
Happy Hours
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement
Lunch and learns
Promote from within

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