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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.
We’re looking for an experienced Senior Backend Engineer who will join our Data Pipeline team and take part in development of all aspects of our data pipeline, from data acquisition, through normalization, data enrichment, and preparing for frontend consumption. This includes building features and infrastructure, taking into account proper architecture and scalability.
What’s in it for you?
- A unique opportunity to join the core team of a recently-acquired startup building the next generation SaaS security platform.
- Work on state-of-the-art architecture using the latest industry best practices and leading technologies.
- Take part in building a new emerging product and platform within a market-leader in the security industry.
- Work with a passionate team with a proven track record from past ventures that puts speed, creativity, transparency and people first.
- Single origin coffee and afterhours mixology
Responsibilities
- Designing, developing, and supporting new requirements from Product and from Research.
- Building, deploying and maintaining data infrastructure and pipelines.
- Building automated validation processes to ensure data integrity.
- Leading data investigations and escalations with other teams.
- Writing clear documentation.
- B.Sc./M.Sc. in Engineering, Computer Science or relevant field, or graduate of a technical unit in the IDF.
- Over 5 years of experience as a Backend Engineer/Data Engineer, building data pipelines and handling high-scale data loads.
- Advanced knowledge in Python and/or Java.
- Experience in Spark or equivalent (Hadoop, BigQuery, Elasticsearch etc.).
- Good knowledge and experience with SQL.
- Familiarity with AWS and its various services, including EC2, S3, RDS, EKS and others.
- Experience with SaaS platforms and CI/CD methodologies.
- Good understanding of agile methodologies.
- Advantages:
- Software system testing methodology.
- Experience working with Databricks, Apache Spark and/or PySpark.
- Data science and business intelligence experience.
- Cybersecurity industry experience.
Additional Information
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Why Zscaler?
People who excel at Zscaler are smart, motivated and share our values. Ask yourself: Do you want to team with the best talent in the industry? Do you want to work on disruptive technology? Do you thrive in a fluid work environment? Do you appreciate a company culture that enables individual and group success and celebrates achievement? If you said yes, we’d love to talk to you about joining our award-winning team.
Additional information about Zscaler (NASDAQ: ZS ) is available at https://www.zscaler.com.
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.
