Senior Software Engineering - Data Engineering

Bengaluru, India
Spark Kafka Streaming Spring AWS Machine Learning Microservices Java API

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.

About the role:

As part of the Data engineering team, the candidate will be working within an agile team that iterates quickly on delivering new features for the Zscaler Digital Experience (ZDX) SaaS-based product. Candidate will contribute to the design and development of backend microservices to expand the solution offering to collect and analyze telemetry/health data, and use this data to help detect performance problems with customer applications such as SaaS applications, UCaaS (Unified-Communication as a Service) apps, and Enterprise apps.

What you will do:

  • You will be responsible for product features related to data transformations, enrichment, and analytics
  • You will discuss with product managers, UX designers, and other backend teams to understand requirements and translate the same into functional specifications 
  • You will seize every opportunity to refactor code in the interests of maintainability and reusability
  • Lead and provide technical direction and mentorship to junior engineers and bring out the best in them.
  • The ideal candidate has a proven track record of building large scale enterprise products, and is a creative thinker, problem solver, learner, and a fantastic manager of people, and is motivated with engineering excellence.


  • Education: BS Computer Science or Equivalent
  • Minimum 4+ years of software development experience
  • Experience in Core Java, Concurrency, and Distributed Computing
  • Experience in building high performance, scalable web services
  • Experience using batch and stream processing frameworks like Spark/Kafka Streaming, Spring batch or equivalent
  • Experience developing microservices and API's
  • Proficiency with Tomcat installation and configuration.
  • Proficiency with Maven (preferred) or Gradle builds and dependency management systems.
  • 4+ years of experience writing unit test, stubs, 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

Desired skills:

  • Ability to write code that can perform efficiently in a big data setup
  • Experience with big-data technologies like Spark, Redshift, etc.
  • 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 with any Graph Database like AWS Neptune, Neo4j, Spark Graphx, etc.
  • Understanding of statistics and machine learning.

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.

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