Description
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
We are looking for a Principal Software Development Engineer - Agentic Systems to join our team. This is a hybrid role based in Bangalore, reporting to the Director, Software Development Engineering in the Exposure Management & Security Operations department. In this role, you will lead the architecture and delivery of large-scale AI/ML infrastructure and production pipelines, mentor team members, and drive strategic technical initiatives across the organization.
Responsibilities
- Lead the architecture and development of scalable AI/ML infrastructure, LLM serving platforms, and agentic workflows tailored for cloud-scale cybersecurity use cases
- Architect reusable platform foundations,including networking, security, authentication, and monitoring,to standardize and secure enterprise AI/ML services
- Define and implement system observability, evaluation, and reliability frameworks to ensure optimal performance and stability of AI systems in production
- Drive cross-functional architectural initiatives in collaboration with product, security, and operations teams to deliver production-grade AI solutions aligned with business goals
- Provide technical leadership and mentorship on distributed systems design while translating complex architectures to non-technical stakeholders to foster alignment across the organization
Requirements
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
- Proven experience designing and operating large-scale, low-latency distributed systems, with deep expertise in availability, fault tolerance, consistency, and cloud-native microservices (AWS preferable, GCP, or Azure)
- Expertise in LLMs and production AI/ML infrastructure, including orchestration frameworks, inference systems, and full-lifecycle pipeline operations
- Demonstrated track record of cross-organizational technical leadership, driving architectural decisions, mentoring teams, and shipping production-grade services
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, backed by a solid foundation in core computer science principles
Benefits
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!