Senior Engineering Manager, AI-Driven Backend Architecture

Illumio

San Jose (CA)

On-site

USD 240,000 - 420,000

Full time

14 days+
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Job summary

Illumio, a leader in ransomware containment and Zero Trust, seeks a senior backend engineering leader to drive scalable cloud services and AI-enabled platform capabilities. You will guide architecture across microservices, APIs, and cloud-native apps in a fast-paced cybersecurity environment.

Join a team partnering with Product, Security, Infrastructure, and Data Science to deliver reliable, observable systems across AWS, Azure, and GCP.

Qualifications

  • 10+ years building distributed backend systems.
  • 3+ years leading software teams.
  • Experience with microservices and cloud-native architectures.

Responsibilities

  • Lead and grow a team of backend engineers.
  • Drive strategy for distributed systems and APIs.
  • Partner with Product, Security, Infra, and Data Science teams.
  • Define architecture for large-scale microservices and cloud-native apps.
  • Shape Illumio’s AI roadmap, including LLMs and RAG architectures.
  • Establish engineering best practices around reliability and observability.
  • Mentor engineering managers and senior engineers.
  • Drive quarterly planning, staffing strategy, and architectural reviews.
  • Ensure delivery of highly available services across AWS, Azure, and GCP environments.

Skills

Distributed backend
Engineering leadership
Backend languages: Java Go Python
Microservices & cloud-native
Kafka
AI systems (LLMs)
Product collaboration
Communication skills
Production reliability
Cloud platforms (AWS/Azure/GCP)

Tools

Kubernetes
Terraform
Langfuse

Job description

Illumio, a leader in ransomware containment and Zero Trust, seeks a senior backend engineering leader to drive scalable cloud services and AI-enabled platform capabilities. You will guide architecture across microservices, APIs, and cloud-native apps in a fast-paced cybersecurity environment.

Join a team partnering with Product, Security, Infrastructure, and Data Science to deliver reliable, observable systems across AWS, Azure, and GCP.

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