Staff Software Engineer

San Jose, CA, United States

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.

The Staff Software Engineer, Data Engineering will create the next generation of Zscaler's Digital Experience AI/analytics platform. The candidate will help build a platform to collect and ingest several billion (and growing) events from Zscaler's globally distributed connectors and provide actionable insights to customers.

Responsibilities

Design and build multi-tenant systems capable of loading and transforming large volumes of structured and semi-structured telemetry data

Build robust and scalable data infrastructure (both batch processing and real-time) to support needs from internal and external users

Implement measures to address data privacy, security and compliance

Work with product management, marketing, engineering architecture, AI/data science teams to identify requirements and evolve data architecture

Qualifications

8+ years of hands-on experience working with cloud-based software development and large-scale data lake solutions

Must be proficient with coding in Java, Python would be a plus

Must have expertise with the one or more Large-scale Data analytics platforms (such as Spark, Azure Data Explorer or similar)

Must have expertise with distributed storages architecture (such as Hadoop or similar)

3+ 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 Kusto, Presto, Hive or Spark SQL or similar)

2+ years working with data processing frameworks such as Kafka, Storm, Elastic search.

Cloud platform experience working with Azure, AWS, EC2, S3, EMR, Redshift or similar platforms

Identify the right kind of data serialization techniques and data stores for persisting events

Experience architecting systems following the REST and GraphQL architectural style

Networking experience and some knowledge of TCP/IP protocols is a huge plus (HTTP, DNS, SSL).

Working experience with network and health Telemetry data is a plus.

Working experience with network and health telemetry large-scale data is a plus.

Exposure to AI and Deep Learning platforms such as TensorFlow

Work closely with Data Scientist to apply and deploy ML models for telemetry data analytics

Excellent interpersonal, technical and communication skills

Ability to learn, evaluate and adopt new technologies

Ability to prioritize multiple tasks in a fast-paced environment

Bachelor's Degree in computer science or equivalent experience

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 — $172,000 USD

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. If you need support, please contact us by sending an email to [email protected]. This email address is used specifically for accommodation requests only, and resumes, CV's, or questions other than accommodations will not be replied to or accepted.

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