Sr. Engineering Manager, Core Products

Location: 5 on-site days a week in Sunnyvale, CA Headquarters.

Our Team's Vision:

Our Engineering team is driven by a culture that thrives on visionary leadership, autonomy, and ownership, creating a dynamic synergy that drives us forward in the ever-evolving landscape of cybersecurity.

When you join our team, you become part of the leader in Zero Trust Segmentation. You'll work with a cutting-edge technology stack that spans operating systems, distributed applications, and immersive UI/visualization tools.

We're shaping the future of cybersecurity. And together, we will continue to build world-class products—led by people with different perspectives, backgrounds, and a commitment to innovation in a time when the world faces its greatest cybersecurity threats in history.

Your Impact

• Lead and grow a team of backend engineers building highly scalable cloud services and AI-powered platform capabilities.

• Drive technical strategy and execution for distributed systems, platform APIs, and AI-enabled services.

• Partner closely with Product, Security, Infrastructure, and Data Science teams to deliver intelligent platform experiences.

• Define architecture for large-scale microservices, event-driven systems, and cloud-native applications.

• Help shape Illumio's AI roadmap, including agentic workflows, LLM integrations, RAG architectures, and AI infrastructure.

• Establish engineering best practices around reliability, observability, scalability, security, and operational excellence.

• Mentor engineering managers and senior engineers while fostering a culture of ownership and innovation.

• Drive quarterly planning, staffing strategy, technical roadmaps, and architectural reviews.

• Ensure successful delivery of highly available services running across AWS, Azure, and GCP environments.

Your Toolkit

• 10+ years building distributed and scalable backend systems.

• 3+ years leading software engineering teams and engineering leads/managers.

• Strong experience in Java, Go, Python, or equivalent backend technologies.

• Deep expertise with microservices, APIs, cloud-native architectures, Kubernetes, and containerized workloads.

• Experience building high-scale distributed systems and event-driven architectures leveraging technologies such as Kafka.

• Practical understanding of modern AI systems, including LLMs, AI agents, RAG architectures, model serving, prompt engineering, and agent orchestration frameworks.

• Experience partnering with Product Management to define strategy and deliver customer-facing capabilities.

• Strong communication skills and the ability to influence technical direction across organizations.

• Experience operating services in production with a focus on telemetry, monitoring, and reliability.

Bonus Points

• Experience leading AI Platform, ML Infrastructure, or Agentic Systems teams.

• Hands-on knowledge of vector databases, inference optimization, model evaluation frameworks, and AI observability platforms such as Langfuse.

• Security or cybersecurity domain experience.

• Experience building enterprise SaaS platforms at scale.

• Familiarity with Terraform, cloud automation, and Infrastructure-as-Code.

#LI-TD1 #LI-ONSITE

This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.

Our Commitment