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Sr. Staff Software Engineer-ZPA
Posted on 10/31/2022
San Francisco, CA, USA
Experience Level
Desired Skills
Apache Spark
Apache Kafka
Data Analysis
Data Science
  • 8+ years of experience in a highly-distributed and enterprise scale mission critical environment
  • Hands-on experience in building and maintaining production data applications, current experience in both relational and distributed columnar date stores
  • Excellent communication skills with strong computer science fundamentals the ability to understand complex business problems and provide software solutions
  • Working knowledge of cloud infrastructure services on AWS/Hybrid cloud
  • Experience with data serialization techniques and data stores for persisting events
  • Experience working with Apache Kafka, Druid or similar platforms
  • Expertise in creating and maintaining production data pipelines using Airflow/KubeFlow
  • Ability to learn, evaluate, document and adopt new technologies
  • Experience working with streaming data processing infrastructure and/or experience with identities and access management systems, like Okta, SAML protocols, and security services
  • Knowledge of OAuth and Privilege Access Management
  • Experience designing and building solutions based on Microservices architecture
  • Experience in implementing services following the REST model
  • Bachelor Degree/or Masters Degree in computer science or equivalent experience
  • Design and implement secure, scalable, high-performance and robust data services in distributed data processing platforms using modern Big Data technologies
  • Maintain and enhance a platform to collect and ingest several billion (and growing) log events from our globally distributed cloud infrastructure and provide actionable insights and visibility to our customers and researchers
  • Design, extend, and review data architecture, model, flow, and integration - be hands on and involved with every stage of the software development life cycle
  • Partner with software engineers and data scientists to meet the need of upstream and downstream dependencies
  • Develop state of the art code - influence/establish the software development culture of the team. Establish standards and best practice for software engineering
  • Keep up to date with the evolving Big Data technology, share the knowledge across the organization by enabling best practices, standards, governed processes and relevant technologies
  • Participate in agile/iterative development cycles with emphasis on code quality, supportability, scalability, and performance
Desired Qualifications
  • Current hands-on experience in building data engineering pipeline with Python (must have) and spark. Experience with functional programming experience with Golang or Java is a plus
  • Experience with timeseries database, data streaming applications, Kafka, Elastic Search, and more is a plus
  • Familiarity with modern data science and product analytics tools and techniques such as TensorFlow, PyTorch, Machine Learning, and advanced statistics is a plus

5,001-10,000 employees

Cloud-based information security company
Company Overview
Zscaler’s mission is to empower organizations to realize the full potential of the cloud and mobility by securely connecting users to applications from any device, anywhere. The company has pioneered a security cloud that has shifted architectural design and approach to network security. With their unique security cloud, the company has created a Zero Trust Exchange platform with their security cloud to enable businesses to reduce cost, risk, simplify IT, and increase business agility.
  • Comprehensive health plans
  • Supportive parental & family leave
  • On-demand learning & development
  • Company-sponsored volunteering
  • Global tuition assistance program
  • Guilt-free paid time off
Company Core Values
  • Teamwork
  • Open Communication
  • Passion
  • Innovation
  • Customer Obsession