Zscaler

About Zscaler

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.

What we are building

We are building Risk360™, a comprehensive and actionable risk framework that delivers robust cyber risk quantification. The product provides a 360-degree view of the threat landscape for customers. Risk360™ was voted one of the hottest 10 CyberSecurity Tools and Products of 2023. Join us in working on one of Zscaler’s fastest-growing products.

Job Description

We are seeking an experienced Principal Engineer to lead the design and implementation of our Risk360 product. The ideal candidate will have a deep understanding of cloud-based data platforms, a proven track record of building and scaling high-performance, reliable systems, and a recognized reputation as an industry expert.

Responsibilities

• Provide technical leadership and mentorship to the engineering team, guiding them in best practices and design decisions.
• Design data processing pipelines to handle data ingestion, transformation, and analysis to derive actionable insights for risk quantification.
• Ensure the data platform is scalable and can handle large volumes of data efficiently, considering the potential growth of data over time.
• Ensure seamless integration between the data platform and Risk360™ to enable the framework to leverage the data platform's capabilities effectively.
• Responsible for product features related to data transformations, enrichment, and analytics.
• Implement robust security measures to protect sensitive data and ensure compliance with relevant regulations and standards, such as GDPR or CCPA.
• Establish monitoring mechanisms to track the data platform’s performance and health and define maintenance procedures to keep it running smoothly. You will seize every opportunity to refactor code in the interests of maintainability and reusability.
• Collaborate with product managers, UX designers, and other backend teams to understand and translate requirements into functional specifications. 

Required Skills

• Minimum 10+ years of hands-on experience working with software development and enterprise data warehouse solutions
• Proficiency in Core Java, Concurrency and Distributed Computing, and some Python would be a plus.
• Experience in building high-performance, scalable microservices and API Gateways
• Working experience in cloud infrastructure services on AWS/Azure/GCP and ability to learn, evaluate, and adopt new technologies
• Experience using batch and stream processing frameworks like Spark/Kafka Streaming, Spring batch, or equivalent
• Proficiency with Maven (preferred) or Gradle build and dependency management systems.
• 5+ years of experience in building high-performance data processing infrastructure, taking into account concurrency, latency, and efficiency by profiling, reviewing logs, etc
• 2+ years working with query engines such as Presto, Hive or Spark SQL, Trino
• 5+ years of experience writing unit tests, stubs, and mocks in a TDD environment using JUnit, REST Assured, or TestNG
• Experience with CI/CD systems such as Jenkins or Bamboo
• Metrics-driven development experience and experience using metrics systems like Grafana, Prometheus, etc
• Experience with Docker and Kubernetes.
• Ability to learn, evaluate, and adopt new technologies fast.

Desired skills

• Ability to write code that can perform efficiently in a big data setup
• Strong knowledge of various DBMS systems, including NoSQL architectures and design principles
• Experience tuning JVM for optimal application performance
• Successfully delivered software products from ideation through to implementation and support
• Experience in working on the Spark platform - building a Spark infrastructure 
• Understanding of statistics and machine learning (will be a plus)

Education

• MS Computer Science or higher

#LI-AZ2

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

$190,000—$230,000 USD

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status or any other characteristics protected by federal, state, or local laws.

See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules. For additional information about the federal requirements, click here.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.