LambdaRemote · San Francisco Office (Fremont St)$314k-$465k1h ago
IllumioPosted 3w ago
Sr. Engineering Manager, Analytics and Applied AI at Illumio scores 70 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Lead an engineering team building cloud services and AI-powered platform capabilities for cybersecurity.
Onwards Together!
Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments – stopping the spread of attacks before they become disasters.
Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running.
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
Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions creates a culture of belonging, drives our future, and makes us stronger together in support of our customers and their success.
All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience.
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How have you integrated a large language model into a production application?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you decide that one model's output is better than another's for a given task?
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, Rag, Llm Integration, AI Agents, and AI Evaluation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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