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. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.
We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.
Role
As a Senior Software Engineer in Data + AI within the ZDX Engineering team, you will design and develop our high-throughput ZDX data platform using an AI-first approach to analyze massive volumes of network data in near real time. You will solve complex business and security challenges by detecting anomalies, identifying threat patterns, and delivering actionable intelligence. In this role, you will architect and orchestrate autonomous, multi-agent systems—partnering closely with data architects, product management, and engineering stakeholders to build the next generation of intelligent, automated data solutions.
What you’ll do (Role Expectations)
- Architect and scale distributed data pipelines supporting high-throughput ingestion, feature engineering, and real-time data serving from Big Data platforms
- Design, build, and orchestrate Agentic AI systems, including multi-agent workflows, tool integrations, state management, observability, and real-time agent serving
- Partner cross-functionally with data architects, product management, and engineering to automate complex analytics, anomaly detection, and threat triage
- Lead the technical implementation, debugging, and end-to-end monitoring rollout plans for resilient, production-grade agentic frameworks
Who You Are (Success Profile)
- You thrive in ambiguity and view uncharted challenges as opportunities to build meaningful, scalable platform architecture.
- You operate with true ownership, balancing high-level strategic planning with deep, hands-on technical execution.
- You run toward complex problems with a bias for action, delivering measurable impact across data and AI systems.
- You are a high-trust partner who practices transparent communication, constructive candor, and shared accountability to elevate team performance.
- You embody a continuous learning mindset, proactively incorporating emerging AI frameworks, architectures, and engineering best practices.
What We’re Looking for (Minimum Qualifications)
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
- 3+ years of hands-on software engineering experience in Java and Spring Boot within large-scale, data-intensive environments
- Hands-on experience with Redis caching, partition-aware query patterns, and high-performance querying on platforms such as Azure Data Explorer (ADX/Kusto) or Google BigQuery
- Proven experience building and operating LLM- or agent-based architectures, including multi-agent orchestration, agent-to-agent communication, and autonomous decision-making workflows
- Deep expertise in distributed systems architecture and major public cloud platforms including Azure, GCP, or AWS
What Will Make You Stand Out (Preferred Qualifications)
- Experience designing and optimizing autonomous AI agents with advanced reasoning, planning, and tool-use capabilities to automate complex network analytics and threat triage
- Proven track record of designing, building, and shipping production applications processing billions of events across big data, AI, and distributed systems
- Hands-on experience with advanced frameworks like LangGraph, multi-agent systems, prompt engineering, and state-of-the-art agent orchestration patterns
#LI-AN4 #LI-Bangalore
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler's hybrid working model and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.