Lambda Security protects some of the world’s most valuable digital assets: training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best-of-breed AI models. We’re responsible for securing every byte that powers breakthrough artificial intelligence
As a Security Engineer at Lambda, you’ll touch many areas across the security program such as building detections, hardening infrastructure, reviewing designs, automating toil, and responding to incidents
Reporting to the Head of Security and partnering closely with Product Engineering, Data Center Operations and Engineering, IT, and embedded Technical Program Managers, your work shapes the security posture customers rely on
Security at Lambda directly enables customer trust and unlocks enterprise revenue. Our customers run billion-dollar training jobs and irreplaceable model weights on our infrastructure; our job is to make Lambda the safest place to build with AI
Over the next 12-18 months, you’ll help deliver our 2026 security roadmap, expand detection coverage for AI-specific threats, help mature our incident response program, and ship security automation that other engineering teams adopt voluntarily
You’ll also have direct access to LLMs hosted on Lambda’s own infrastructure to push security operations beyond what’s possible elsewhere
Security is a broad field, and we don’t expect you to be an expert in everything our team does, but we do expect you to learn quickly, ship across domains, and support the specialists around you
If you enjoy moving between detection, architecture, and platform work and want to build security alongside the engineers you’re protecting rather than from the outside then we’d love to talk
Build and Tune Detections: Develop and refine detection content across our SIEM and EDR to catch threats targeting customer data, model weights, and infrastructure
Respond to Incidents: Participate in on-call, lead investigations end-to-end, and turn each incident into automation, playbooks, or controls that prevent the next one
Harden Systems Directly: Remediate vulnerabilities and security findings in production, partnering with engineering teams when fixes cross team boundaries
Review Architectures and Code: Provide actionable security feedback on high-level designs and individual changes, and turn recurring review patterns into reusable standards
Build Security Tooling: Ship Python or Go services that automate evidence collection, vulnerability triage, and other toil, using Lambda’s hosted LLMs where they meaningfully accelerate the work
Partner Across Engineering: Work with Product Engineering, Data Center Operations and Engineering, IT, and Legal to land security improvements at the moments they’re cheapest to adopt
Balance Strategic and Tactical: Recognize when to invest in a long-term fix versus when “good enough” is exactly that, and bias toward measurable forward progress
Lambda