Senior Security Engineer - Detection & Response (AI)

Location: Hybrid; presence required in the Bellevue, San Francisco, or San Jose office 4 days per week, with Tuesday as the designated work-from-home day.

Salary: $296K–$395K annually in San Francisco or San Jose; $266K–$356K annually in Bellevue.

Company

Lambda builds AI cloud infrastructure for AI researchers, enterprises, and hyperscalers, with a focus on making compute broadly accessible.

What you will do

• Design and maintain detection rules, signatures, behavioral analytics, and threat-hunting capabilities across cloud, bare-metal, internal, and AI workloads.
• Develop detection logic, playbooks, automated security tools, and AI-powered investigation workflows using Lambda’s internal LLM infrastructure.
• Lead complex incident-response investigations, including forensic analysis, root-cause identification, containment, and remediation.
• Architect SOAR pipelines to isolate compromised assets and revoke compromised credentials, while partnering with Platform and Infrastructure teams on hardening and telemetry.
• Participate in an engineering on-call rotation supporting 24/7 readiness, conduct post-incident reviews, and mentor junior and mid-level security engineers.

Requirements

• 5+ years of hands-on security engineering experience specializing in detection engineering, threat hunting, or digital forensics and incident response.
• Strong programming or scripting proficiency in Python, Go, Rust, Bash, or comparable technologies, with experience building automated security tools and pipelines.
• Deep knowledge of AWS or GCP security, Linux internals, container runtime security, and network telemetry.
• Understanding of the security requirements of a cloud infrastructure provider.
• Experience writing and managing SIEM, YARA, Sigma, Falco, or EDR detections using software development best practices.
• Hands-on experience with forensic investigations and triaging complex, multi-stage attacks across cloud environments.
• Strong technical communication skills for documenting vulnerabilities, incident post-mortems, and architectural designs.
• Ability to build structure and execute effectively in high-ambiguity, startup-paced environments.

Nice to have

• Experience building detection and response programs at AI or ML companies, or using AI/ML to automate security operations.
• Experience scaling security during hypergrowth, including 10x growth phases.
• Experience with eBPF, kernel-level telemetry, specialized bare-metal host security tools, and security tooling build-versus-buy decisions.
• Experience providing evidence for or driving SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP audits.

Culture & Benefits

• Security work supports AI cloud infrastructure, sensitive training data, model weights, and customer inputs.
• Generous cash and equity compensation.
• Health, dental, and vision coverage for employees and dependents.
• Wellness and commuter stipends for select roles, plus a 401(k) plan with a 2% company match for US employees.
• Flexible paid time off.