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Zscaler is seeking an Engineering Manager to lead the Zero Trust Exchange platform's control plane and distributed systems engineering team. You will manage a team of 6–8 software engineers building and scaling the world's largest cloud security platform, which operates across 200+ global data centers and thousands of edge sites.
In this hybrid role based in Hyderabad, you will report to the Senior Manager of Engineering for ZPA (Zscaler Private Access). Your responsibilities include:
• Oversee and lead a team of engineers to develop high-quality, performant, scalable, reusable, extensible, secure, supportable, and reliable software.
• Lead the design and implementation of scalable, high-availability distributed systems using technologies such as Kafka, Elasticsearch, Druid, and OpenSearch.
• Deliver high-quality, reliable microservices and highly distributed solutions while ensuring overall system reliability.
• Monitor system performance, troubleshoot complex issues, and optimize security to maintain high availability for critical cloud systems.
• Collaborate with product managers and other engineering leaders to translate technical goals into measurable business results.
Zscaler is building an AI-native enterprise where human potential is amplified by machine intelligence. The company emphasizes ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback.
You thrive in ambiguity and act like an owner, with a passion for the mission and a bias for action. You are a problem-solver who loves running toward challenges, a high-trust collaborator ambitious for the team, and a learner with a growth mindset obsessed with your own development.
**Requirements:**
• 10+ years of engineering leadership experience, including 3+ years managing global teams across the entire SDLC.
• Deep knowledge of distributed software architectures, cloud services (AWS, GCP, Azure), and system monitoring solutions.
• Proven ability to lead teams in delivering highly distributed solutions.
• Skilled at partnering with product management to turn technical vision into impactful execution.
• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain.
**Preferred Qualifications:**
• Experience leveraging AI coding assistants, automated code review tooling, or LLM-assisted development workflows to optimize software architecture and accelerate delivery cycles.
• A consistent track record of taking ownership and delivering high-quality results in a predictable fashion.
• Strong advocacy for modern practices including DevSecOps, CI/CD, and automation-based delivery within large engineering organizations.
