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LeadHybridBangalore

Principal Software Development Engineer

Z
Zscaler
Уровень
Lead
Формат
Hybrid
О роли

Описание вакансии

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.

Role

We are looking for a Principal Software Development Engineer to join our team. This is a Hybrid role, reporting to the Senior Director, Software Engineering in the ZPA department. You will lead the architecture, deployment, and evolution of large-scale Generative AI platforms and intelligent agent systems in production.

As a hands-on technical leader, you will design high-performance AI systems that are scalable, secure, observable, and production-ready, while building critical platform components and partnering across multidisciplinary teams to deliver reliable AI capabilities at scale.

Responsibilities
  • Build and maintain MCP (Model Context Protocol) servers to standardize secure interactions between LLMs, agents, enterprise tools, APIs, databases, and local resources
  • Design and deploy high-performance containerized Generative AI workloads in production using Docker, Kubernetes, model quantization, and KV-cache optimization to reduce latency and memory footprint
  • Define engineering standards, architectural patterns, and best practices for building robust enterprise AI systems
Requirements
  • Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • 10+ years of software engineering experience, with significant expertise in distributed systems, platform engineering, or machine learning infrastructure
  • Proven experience building, deploying, and operating production-grade AI/ML or LLM systems at scale
  • Strong expertise in Python and systems languages such as Go, C++, Rust, or Java, alongside hands-on experience with Docker, Kubernetes, and cloud-native deployment patterns
Conditions
  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks, and more!
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