About the company
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.
Responsibilities
- 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, making technical decisions that balance 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
Requirements
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
- 7 plus years of software-engineering experience, including ownership of complex production systems and a 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 a strong understanding of concurrency, networking, storage, APIs, and operational observability
- Experience in managing Cloud Infrastructure on one of the Hyperscalers: AWS, GCP, or Azure
Conditions
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!