Sr. Staff Backend Engineer - Zscaler

Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of proven backend software engineering experience building and shipping complex SaaS solutions in production, with proficiency in Java/Spring Boot or a comparable high-level backend language Hands-on experience with data-intensive systems, including ETL pipelines, big data stores, and high-throughput data processing Proficiency in high-scale, multi-tenant cloud architecture, including microservices, Docker, Kubernetes, and workflow orchestration Proven ability to lead end-to-end technical work autonomously from design to deployment, paired with excellent communication and collaboration skills

Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot and Python Designing and building data pipelines and ETL workflows that ingest, transform, and unify data from diverse sources at enterprise scale Leading solutions from scratch to production; creating technical designs, driving architectural decisions and taking full ownership of complex projects - from design and implementation through deployment, monitoring performance, reliability and cost, and proactively driving improvements Collaborating closely with cross-functional partners - product managers, frontend/backend engineers and UX designers Serving as a technical anchor for the team - leading design discussions, setting engineering standards, and driving best practices across the codebase

Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of proven backend software engineering experience building and shipping complex SaaS solutions in production, with proficiency in Java/Spring Boot or a comparable high-level backend language Hands-on experience with data-intensive systems, including ETL pipelines, big data stores, and high-throughput data processing Proficiency in high-scale, multi-tenant cloud architecture, including microservices, Docker, Kubernetes, and workflow orchestration Proven ability to lead end-to-end technical work autonomously from design to deployment, paired with excellent communication and collaboration skills