Engineering Manager - Control Plane + Distributed Systems

The role

Lead a team of 6 to 8 software engineers building Zscaler's ZPA cloud security platform. You will oversee high-quality, scalable, secure distributed software and work with product managers to turn technical goals into business results.

What you will do

• Oversee and lead a team of engineers building performant, scalable, secure and reliable software
• Lead design and implementation of scalable, high-availability distributed systems using Kafka, Elasticsearch, Druid and OpenSearch
• Deliver high-quality, reliable microservices and distributed solutions
• Monitor system performance, troubleshoot complex issues and optimize security for high availability
• Collaborate with product managers and engineering leaders to translate technical goals into measurable business results

Required qualifications

• Foundational understanding of AI/ML technologies and experience leveraging, securing or positioning AI-driven solutions
• 10+ years of engineering leadership experience
• 3+ years managing global teams across the full software development lifecycle
• Deep knowledge of distributed software architectures, cloud services (AWS, GCP, Azure) and system monitoring
• Proven ability to lead teams delivering highly distributed solutions
• Skilled at partnering with product management to turn technical vision into execution

Nice to have

• Experience with AI coding assistants, automated code review tooling or LLM-assisted development workflows
• Consistent track record of ownership and predictable, high-quality delivery
• Strong advocacy for DevSecOps, CI/CD and automation-based delivery in large engineering organizations

Benefits

• Various health plans
• Vacation and sick time plans
• Parental leave options
• Retirement options
• Education reimbursement
• In-office perks

Before you apply

• Hybrid working model applies to this role

About the company

Zscaler is a cloud security company whose Zero Trust Exchange platform protects customers from cyberattacks and data loss. It runs across 200+ public data centers and thousands of private edge sites.