About the company
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.
Job Summary
We're looking for an experienced Backend Engineer to join our Engineering team. Reporting to the Manager, Software Engineering you'll be responsible for:
📍Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot and Python 📍Leading and designing solutions from scratch to production 📍Monitoring the performance and cost of the services in production 📍Stay up-to-date with industry trends and best practices to continuously improve our technology stack and development processes 📍Integrating with other team members (backend/frontend/product/UX)
What We’re Looking for (Minimum Qualifications)
📍Must have 5+ years of proven backend software engineering experience 📍Proficiency in object-oriented programming languages: Java/Springboot, C#/.Net Core 📍Proficiency in various big data stores such as Snowflake, Vertica, Elastic Search, BigQuery 📍Experience with developing SAAS products over public cloud infrastructure such as AWS, Azure, GCP. 📍Proficiency in high scale, multi tenant cloud architecture; queues, locks, scheduling, workload distribution, ETL workflows
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