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 160+ public exchanges globally and thousands of private exchanges 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
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. You bring a deep understanding of building and operating distributed AI systems at scale and translating business challenges into reliable, production-grade AI platforms.
What you’ll do (Role Expectations)
- 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
Who You Are (Success Profile)
- You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
- You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
- You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
- You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
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
- Proven experience designing and operating large-scale, low-latency distributed systems, with deep expertise in availability, fault tolerance, consistency, and cloud-native microservices (AWS preferrable, 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
What Will Make You Stand Out (Preferred Qualifications)
- Hands-on experience architecting autonomous AI agentic workflows and fine-tuning domain-specific LLMs for real-time cybersecurity threat and exposure management
- Proven track record with LLM observability, explainability, and evaluation frameworks in production environments, complemented by serverless architectures for data-intensive workloads
- Deep foundation in core systems, networking, and security architecture for distributed systems, including identity, encryption, access control, VPC, and network security
#LI-Hybrid #LI-RM6
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.
Skills Required
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions
- Experience designing and operating large-scale, low-latency distributed systems
- Expertise in availability, fault tolerance, consistency, and cloud-native microservices
- Experience with AWS, GCP, or Azure
- Expertise in LLMs and production AI/ML infrastructure, including orchestration frameworks, inference systems, and full-lifecycle pipeline operations
- Track record of cross-organizational technical leadership, architectural decision-making, team mentorship, and shipping production-grade services
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
- Experience architecting autonomous AI agentic workflows and fine-tuning domain-specific LLMs for cybersecurity threat and exposure management
- Experience with LLM observability, explainability, and evaluation frameworks in production
- Experience with serverless architectures for data-intensive workloads
- Deep knowledge of systems, networking, security architecture, identity, encryption, access control, VPC, and network security
Zscaler Compensation & Benefits Highlights
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Healthcare Strength — Coverage is described as comprehensive across medical, dental, and vision, with mental‑health access and targeted programs for complex and chronic needs. Inclusive options span fertility, gender‑affirming care, and specialized support such as menopause and cancer‑care navigation.
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Parental & Family Support — Paid parental leave is outlined for all parents, with additional disability time for birthing parents and a ramp‑back period at full pay. Family‑building benefits and adoption assistance are also highlighted.
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Equity Value & Accessibility — Equity grants (RSUs) and a discounted stock purchase plan are positioned as meaningful components of total rewards. Feedback suggests these programs enhance overall compensation, particularly in eligible roles.
Zscaler Insights
What We Do
Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure. Our cloud native Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Why Work With Us
Our impact comes from how we work—every day, in every decision, as one team. Our values and leadership principles are more than words; they're our operating system. They fuel a culture of execution where trust, transparency, and accountability help us deliver meaningful results for our customers, colleagues, and our company. www.zscaler.com/culture
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
