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

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