4 months ago
Base Salary
$230k - $395k/yr
Responsibilities
- Build and tune SIEM and EDR detection content for threats targeting customer data, model weights, and infrastructure.
- Participate in on-call incident response, lead investigations, and create automation, playbooks, and controls from incident learnings.
- Remediate production vulnerabilities and security findings in partnership with engineering teams.
- Review system architectures and code changes, providing actionable security feedback and developing reusable standards.
- Build Python or Go services for evidence collection, vulnerability triage, and other security automation.
- Partner with Product Engineering, Data Center Operations and Engineering, IT, and Legal to implement security improvements.
- Balance long-term security investments with tactical fixes and measurable progress.
Requirements
- 5+ years of demonstrated security engineering experience, either as a security engineer or as an engineer driving security outcomes.
- Equivalent backgrounds combining significant formal security training with strong engineering experience are welcomed.
- Breadth across multiple security domains, such as detection, response, architecture, platform, or vulnerability management.
- Strong hands-on Linux experience protecting applications and cloud infrastructure.
- Ability to solve problems in Python, Go, or a similar language and ship production-grade tooling.
- Ability to collaborate effectively with technical teams with or without formal authority.
- Preferred: experience leading or developing a meaningful component of a security program.
- Preferred: significant evidence or experience supporting SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP compliance audits.
- Preferred: large-scale production services experience or virtualization experience with KVM, Hyper-V, or Xen.
- Preferred: experience building or deploying SIEM, SOAR, EDR, IDS/IPS, or canary/honeypot security infrastructure.
- Preferred: experience with AI/ML infrastructure security, model security, or protecting high-value computational workloads.
- Preferred: experience using LLMs for automated triage, alert correlation, or AI-assisted code review.
Benefits
- Hybrid schedule requiring presence in a San Francisco, San Jose, or Bellevue office four days per week, with Tuesday designated as the work-from-home day.
- Generous cash and equity compensation.
- Health, dental, and vision coverage for employees and dependents.
- Wellness and commuter stipends for select roles.
- 401(k) plan with a 2% company match for USA employees.
- Flexible paid time off plan.
About Lambda
Lambda provides GPU cloud computing and on-prem AI hardware—servers, clusters, and workstations—for teams training and serving large ML models. Its products include NVIDIA H100/A100 instances, managed clusters, and the Lambda Stack software, sold via usage-based cloud pricing and hardware sales. Founded in 2012 and headquartered in San Francisco, the privately held company serves researchers, startups, enterprises, and hyperscalers.