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Lambda

Senior Security Engineer - Detection & Response

San Francisco, CA, United States
San Jose, CA, United States
Bellevue, WA, United States

$296,000 to $395,000 USD / year

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Job details

Pay: $296,000 to $395,000 USD / year
Experience: 5+ years of hands-on security engineering experience specializing in detection engineering, threat hunting, or digital forensics and incident response (DFIR)
Posting language: English
Posted: Nov 2, 2026

Original job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Bellevue, San Francisco, or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

About the Role

Lambda Security protects some of the world's most valuable digital assets: invaluable 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.

Reporting to the Security Engineering Lead, you will serve as a hands-on technical expert on the Detection & Response team - acting as an intelligent backstop that ensures Lambda is the safest place to build with AI by catching security issues in real-time while enabling our business to move at hypergrowth velocity. You will help transform reactive security operations into a proactive threat management engine, dedicating the majority of your effort to automation, threat hunting, detection engineering, and incident response capability building rather than constant firefighting.

You will directly affect customers’ trust in the safety of their data by implementing enterprise-grade detection capabilities, automating incident response workflows, and hardening our multi-cloud and bare metal infrastructure. With unique access to LLMs hosted on our own infrastructure, you will pioneer AI-powered security solutions that wouldn't be possible anywhere else. Key priorities include maintaining 24/7 operational resilience through smart automation, rapid incident investigation and mitigation, and advancing our technical D&R capabilities.

If you're excited about building detection and response automation so efficient that security operations become "almost boring," where code handles the routine so you can focus on novel threats, we want to talk.

We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for a Senior Security Engineer role. Your application is not a waste of our time.

What You’ll Do

Detection Engineering & Threat Hunting:

Design, build, and maintain robust detection rules, signatures, and behavioral analytics across Lambda's cloud, bare-metal, and internal infrastructure
Conduct proactive threat hunting operations to uncover hidden threat actors, novel attack vectors, and zero-day vulnerabilities across multi-cloud and AI workloads
Develop custom detection logic and playbooks as code, eliminating manual triage toil and reducing time-to-detect and time-to-respond
Pioneer AI-powered detection and investigation workflows leveraging our internal LLM infrastructure to automate log analysis and threat intelligence context

Incident Response & Security Architecture:

Lead technical incident response investigations for complex security events, performing deep-dive forensic analysis, root-cause identification, and containment
Architect automated response capabilities and orchestration pipelines (SOAR) to programmatically isolate compromised assets and revoke compromised credentials
Partner with Platform and Infrastructure engineering teams to harden systems, build security instrumentation, and ensure telemetry coverage across all services

Operational Execution & Continuous Improvement:

Participate in an engineering on-call rotation to maintain 24/7 operational readiness and rapid incident containment
Conduct post-incident reviews to extract technical learnings, drive root-cause remediation, and prevent recurring incidents
Mentor junior and mid-level security engineers, sharing technical domain expertise and promoting best practices in detection engineering and automation

You

5+ years of hands-on security engineering experience specializing in detection engineering, threat hunting, or digital forensics and incident response (DFIR)
Strong programming/scripting proficiency (e.g., Python, Go, Rust, or Bash) with a track record of building automated security tools and pipelines
Deep technical knowledge of cloud infrastructure security (AWS/GCP), Linux system internals, container runtime security, and network telemetry
Clear understanding of the unique requirements of securing a cloud infrastructure provider
Proven experience writing detection rules (SIEM, YARA, Sigma, Falco, or EDR queries) and managing detections through software development best practices
Hands-on experience conducting forensic investigations and triaging complex, multi-stage attacks across cloud environments
Strong technical communication skills with the ability to document complex vulnerabilities, incident post-mortems, and architectural designs clearly
Thrives in high-ambiguity environments where you must build structure while executing at startup pace

Nice to Have

Excitement about leveraging our direct access to state-of-the-art LLMs to revolutionize security operations - imagine AI-powered threat hunting, automated security report generation, and intelligent vulnerability prioritization at a scale only possible when you host the AI infrastructure yourself.
Experience building D&R programs at AI/ML companies
Track record using AI/ML for security operations automation (yes, we know it’s all brand new)
Background scaling security during hypergrowth (10x growth phases)
Experience with eBPF, kernel-level telemetry, or specialized bare-metal host security tools
Experience with both build and buy decisions for security tooling
Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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More about this job

Skills

Incident response
Organisational resilience
Process improvement
Python
Go
Rust
Bash
AWS
Google Cloud
Linux
Software development
Communication skills
Prioritization
ML
Regulatory compliance

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