Software Engineering Architect, Machine Learning

Posted 15 Minutes Ago
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Bangalore, Bengaluru, Karnataka, IND
Hybrid
Expert/Leader
Cloud • Information Technology • Security • Software • Cybersecurity
Experience secure digital transformation.
The Role
Architect and build scalable, fault-tolerant platforms for enterprise agentic AI at Zscaler. The role combines distributed systems, cloud infrastructure, cybersecurity, and hands-on software engineering to enable autonomous agents, multi-agent collaboration, tool execution, contextual intelligence, and secure workflows. Responsibilities include establishing reusable architecture patterns, writing production code, leading complex implementations, troubleshooting systems, driving technical alignment, and mentoring engineers across teams.
Summary Generated by Built In

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
We are looking for an exceptional hands-on architect and engineering leader to shape the next generation of enterprise agentic AI platforms at Zscaler in Bengaluru, India. Operating at the critical intersection of distributed systems, agentic AI, cloud infrastructure, and enterprise security, you will play a pivotal role in architecting and delivering an intelligent, production-grade platform that enables autonomous agents to reason, collaborate, leverage enterprise context, and execute secure actions across our global ecosystem.

What you’ll do (Role Expectations)

  • Architect and implement highly scalable, fault-tolerant, and low-latency distributed platforms powering enterprise AI agents
  • Advance agentic AI capabilities, including production-grade multi-agent collaboration, tool execution, contextual intelligence, and automated workflows
  • Establish reusable architectural patterns, foundational frameworks, and engineering standards across the organization
  • Maintain a hands-on technical approach by writing production code, building prototypes, leading critical technical implementations, and troubleshooting complex systems
  • Drive technical alignment and mentor engineering talent across teams without relying on hierarchical authority

Who You Are (Success Profile)

  • You are a builder at heart and an architect by experience who seamlessly bridges visionary design with hands-on production engineering.
  • You possess a proven track record of designing, building, and operating complex distributed systems that scale reliably under demanding enterprise workloads.
  • You demystify complex technical challenges for those around you, making sophisticated AI and distributed systems simple, accessible, and robust.
  • You lead through influence and positive energy, elevating team standards and inspiring cross-functional collaboration across engineering, product, and security.
  • You bring intellectual curiosity and humility to your craft, cutting through industry hype to deliver pragmatic, high-impact technological solutions.

What We’re Looking for (Minimum Qualifications)

  • Hands-on experience developing and deploying production-grade AI agents, LLM-powered systems, or intelligent orchestration platforms
  • Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience with 12+ years of software engineering experience
  • Extensive engineering expertise in distributed systems, networking, concurrency, cloud-native backend architecture, and large-scale platform operations
  • Strong programming proficiency in Python, Java, Go, or Rust with a proven track record of building production software
  • Demonstrated experience evaluating and implementing architectural trade-offs across performance, fault tolerance, multi-tenant isolation, and operational complexity

What Will Make You Stand Out (Preferred Qualifications)

  • Deep expertise in advanced agentic concepts such as multi-agent orchestration, agent-to-agent (A2A) communication, tool calling protocols, Model Context Protocol (MCP), state management, and LLM evaluation architectures
  • Track record of successfully conceptualizing, designing, and scaling foundational platforms or developer frameworks adopted across multiple engineering teams
  • Deep domain expertise in enterprise cybersecurity architectures, zero trust principles, or enterprise-grade multi-tenant data isolation

#LI-AN4 #Hybrid

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

  • Hands-on experience developing and deploying production-grade AI agents, LLM-powered systems, or intelligent orchestration platforms
  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience
  • 12+ years of software engineering experience
  • Extensive expertise in distributed systems, networking, concurrency, cloud-native backend architecture, and large-scale platform operations
  • Strong programming proficiency in Python, Java, Go, or Rust
  • Experience evaluating and implementing architectural trade-offs involving performance, fault tolerance, multi-tenant isolation, and operational complexity
  • Expertise in multi-agent orchestration, agent-to-agent communication, tool-calling protocols, Model Context Protocol, state management, and LLM evaluation architectures
  • Experience designing and scaling foundational platforms or developer frameworks adopted across multiple engineering teams
  • Expertise in enterprise cybersecurity architectures, zero trust principles, or enterprise-grade multi-tenant data isolation

What the Team is Saying

Zscaler Compensation & Benefits Highlights

  • Healthcare Strength — Health, dental and vision plans through major carriers, alongside mental-health services, virtual care, and fertility resources, create broad coverage. Feedback suggests coverage breadth and provider choice are seen as strong points.
  • Parental & Family Support — Paid parental bonding leave for birthing and non-birthing parents, plus additional disability leave and a phased return option, signals meaningful family support. Feedback suggests these policies contribute to a family-friendly package.
  • Equity Value & Accessibility — An ESPP with at least a 15% discount and RSUs for eligible roles add wealth-building potential beyond base pay. Feedback suggests stock programs are a notable strength of the total rewards mix.

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The Company
HQ: San Jose, CA
8,697 Employees
Year Founded: 2007

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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Zscaler Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Zscaler's hybrid work environment balances individual employee work styles with best practices to build trust and collaboration – all in support of addressing personal productivity and achieving organizational success.

Typical time on-site: 3 days a week
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