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Senior Staff Software Engineer – Test Automation Infrastructure (ZIA Core)

Zscaler - San Jose, CA, United States - Hybrid - posted 2026-09-01

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Zscaler is seeking a Senior Staff Software Engineer to own the architecture, development, and maintenance of a high-scale system test automation infrastructure for ZIA Core Datapath, a cloud security platform processing 400B+ transactions daily. This hybrid role (3 days/week in San Jose) reports to the Sr Manager, Software Engineering, QA. You will architect and develop scalable test automation infrastructure for cloud-based security products, building repeatable automation suites to validate L4–L7 technologies including cloud firewall, IPsec/GRE tunneling, load balancers, IPS/IDS, and routing/switching. You'll act as an owner and advocate for testing at scale, pushing the limits of the software under test through proficient coding methodologies and strong debugging/troubleshooting skills. You will mentor and guide junior engineers, take full ownership of features, and continuously optimize the regression cycle. Key responsibilities include collaborating with cross-functional teams during design, development, and maintenance of cloud-based software solutions; architecting scalable system test automation infrastructure; building repeatable automation suites; diagnosing customer issues; and mentoring engineers while driving continuous regression optimization. Required: 12+ years of experience with strong programming skills in Python for test automation frameworks; solid understanding of TCP/IP protocol stack, HTTP(S), TLS, PKI, DNS, DHCP, VPN, HA, routing, switching, and tunneling methods (IPsec/GRE); strong background in L3, L4, and L7 filtering policies with hands-on exposure to load balancers, IPS/IDS, and routers; proven experience in manual and automated functional, integration, performance, and scale testing for cloud security/SaaS products; excellent debugging/troubleshooting skills for complex network infrastructure, HTTP/SSL, and firewall issues; foundational understanding of AI/ML technologies and experience leveraging AI-driven solutions. Preferred: Experience with AI-assisted coding, static/dynamic analysis, or intelligent automation tools; hands-on experience with traffic generators, performance/load testing tools, and fuzzing techniques; track record of mentoring junior engineers and leading large-scale test automation initiatives.

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