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Zscaler is a NASDAQ-listed cybersecurity company building the Zero Trust Exchange platform, which protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications. The company is now building security products that enable organizations to adopt AI applications and agents safely and at scale.
You will join as a Staff Software Engineer based in Singapore, reporting to the Director of Software Engineering. This is a hands-on role where you will lead key product capabilities, take full ownership of complex technical initiatives, shape architectural direction, and guide other engineers.
Key responsibilities include:
- Lead the design and delivery of major product capabilities, owning projects from problem definition through implementation, rollout, and production operation
- Design secure, reliable, and scalable systems with clearly defined trust boundaries, balancing security, privacy, performance, reliability, and usability
- Lead complex investigations while improving engineering practices, testing, and operational readiness
- Mentor engineers and provide direction through design and code reviews
- Partner with product and research teams while contributing to technical strategy and longer-term architecture
You thrive in ambiguity and act like an owner, with a passion for the mission and a bias for action. You are a problem-solver who loves running towards challenges, a high-trust collaborator ambitious for the team, and a learner with a growth mindset.
Requirements:
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions within your functional domain
- 7+ years of software engineering experience, including ownership of complex production systems and demonstrated ability to lead technically ambiguous, cross-functional projects
- Deep expertise in systems engineering, distributed systems, security engineering, backend platforms, or endpoint software, combined with strong proficiency in Go, Rust, and Python
- Experience designing systems with clear security, privacy, and reliability requirements, alongside strong understanding of concurrency, networking, storage, APIs, and operational observability
- Experience managing cloud infrastructure on AWS, GCP, or Azure
Preferred qualifications:
- Experience building security, cloud, or enterprise software, including endpoint software for Windows, macOS, and Linux
- Familiarity with AI applications, agents, developer platforms, or AI security
- Experience with security policy, detection, analysis, or software supply-chain systems
