Manager, Software Development Engineering
Skills & Stack
About the Role
Manager, Software Development Engineering at Zscaler Bengaluru, leading engineering teams on the world's largest cloud security platform.
About Zscaler
Zscaler (NASDAQ: ZS) runs the world's largest in-line cloud security platform, the Zero Trust Exchange, protecting thousands of customers across 200+ global data centers.
What You'll Do
- 1Provide active architectural oversight, reviewing and challenging system designs, microservices patterns, and distributed data store strategies to ensure high availability, low latency, and minimal tech debt
- 2Work shoulder-to-shoulder with senior engineers and tech leads, using your past coding background to debug complex system bottlenecks, evaluate code health, and drive engineering excellence
- 3Build, scale, and mentor high-performing software engineering teams across platform engineering, distributed systems, automation, and AI/ML infrastructure
- 4Drive the delivery of internal developer platforms, automated cloud infrastructure, and operational tooling that power enterprise-grade reliability and security
- 5Bridge execution between the India hub and global engineering stakeholders, fostering a culture of ownership, first-principles thinking, and rapid iteration
- 6Who You Are (Success Profile)
What We're Looking For
- 10+ years of software engineering experience and 2+ years of engineering management experience, building clean, production-grade software and scaling complex applications while leading, mentoring, and retaining high-caliber engineering teams
- Deep expertise in distributed systems and cloud architecture, with a proven track record of designing, deploying, and operating large-scale, highly available multitenant services
- Strong technical fluency across modern tech stacks, spanning core programming languages (e.g., Go, Java, Python), cloud-native infrastructure (Kubernetes, container runtimes, IaC), and modern CI/CD automation pipelines
- Deep platform engineering and core infrastructure expertise, with hands-on experience building internal developer platforms (IDPs), managed data stores (e.g., PostgreSQL, Redis), and integrating production-grade AI/ML workflows and automation engines (orchestrators, declarative infrastructure pipelines)
- Hands-on, "lead-by-example" technical leadership philosophy, comfortable conducting low-level technical deep-dives, reviewing critical pull requests, and collaborating directly with principal engineers to drive engineering rigor
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