Lambda

Lambda

Senior Incident Manager

Remote, USA · Senior

Sponsorship not specifiedDetected 49 days ago
Cloud PlatformsPrometheusGrafanaDatadogSite Reliability EngineeringPlatform EngineeringMachine LearningCybersecuritySOC OperationsIncident ResponseJiraStakeholder ManagementCustomer SupportNetwork EngineeringResearchLeadershipCommunication

About the role

  • The Senior Incident Manager is responsible for leading the end-to-end lifecycle of operational incidents impacting AI infrastructure and data center services.
  • This individual acts as the central command point during major incidents, ensuring rapid triage, cross-team coordination, effective communication, and structured post-incident analysis.
  • This role requires deep operational expertise in high-availability infrastructure, large-scale GPU clusters, networking, and cloud platforms, along with strong leadership and communication skills.

Responsibilities

  • Lead the response to critical (SEV-1 / SEV-2) incidents impacting AI infrastructure, GPU clusters, networking, storage, and data center operations.
  • Maintain incident response documentation and operational playbooks.
  • Work in an On-Call Rotation to respond to, lead, and coordinate incidents
  • Drive alignment during outages involving multiple infrastructure layers.
  • Lead post-incident reviews (PIRs) and root cause analysis. Identify systemic reliability gaps and implement corrective actions.
  • Improve incident response processes, escalation paths, and tooling by working with technical support and engineering teams..
  • 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
  • Lead post-incident reviews (PIRs) and root cause analysis.
  • Identify systemic reliability gaps and implement corrective actions.
  • Support implementation of automation and observability improvements.

Requirements

  • Experience with incident management frameworks (ITIL, SRE, or equivalent)

Nice to have

  • Experience operating AI or HPC infrastructure
  • Background in SRE, infrastructure engineering, or data center operations
  • Familiarity with high-density GPU environments (NVIDIA clusters, InfiniBand networks)
  • Experience with hyperscale or colocation data center environments
  • Knowledge of automation and incident response tooling
  • Knowledge of and experience with Incident command system (ICS)
  • Incident Command & Leadership
  • Operational Decision Making

Skills

  • Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
  • One person, one GPU.

Compensation

  • 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.
  • We offer generous cash & equity compensation

Company info

  • 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

  • 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.

Visa & Work Authorization

  • ational 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

This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.