About The Position

Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a Senior Staff Software Engineer – Test Automation Infrastructure (ZIA Core) to join our team. This is a hybrid (3 days per week in San Jose, CA office) role, reporting to the Sr Manager, Software Engineering, QA in the ZIA Engineering team. In this role you will 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. You will build repeatable automation suites for L4-L7 technologies, validate cloud firewall and tunneling stacks, diagnose customer issues, and mentor engineers while driving continuous regression optimization.

Requirements

  • Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
  • 12+ years of overall experience with strong programming skills in building test automation frameworks in Python
  • Solid understanding of the TCP/IP protocol stack, HTTP(S), TLS, PKI, DNS, DHCP, VPN, HA, routing and switching, and tunneling methods such as 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, including test plan and test case creation
  • Excellent debugging/troubleshooting skills to diagnose and resolve complex network infrastructure, HTTP/SSL, and firewall issues in customer environments

Nice To Haves

  • Experience leveraging AI-assisted coding, static/dynamic analysis, or intelligent automation tools to improve test coverage and engineering productivity
  • 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 or quality initiatives for distributed cloud systems

Responsibilities

  • Collaborate with cross-functional teams during design, development, and maintenance of cloud-based software solutions
  • Architect, design, develop, and maintain a scalable system test automation infrastructure for a cloud product processing 400B+ transactions per day
  • Build repeatable automation suites to validate L4–L7 technologies, including cloud firewall, IPsec/GRE tunneling, load balancers, IPS/IDS, and routing/switching
  • 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
  • Mentor and guide junior engineers, take full ownership of features, and continuously optimize the regression cycle

Benefits

  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks
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