Alembic

Alembic

Lead Security Engineer

San Francisco HQ

Sponsorship not specifiedDetected 21 days ago
PythonKubernetesTerraformAnsibleLinuxPlatform EngineeringCybersecuritySIEMIncident ResponseZero Trust

About the role

  • This is a hands-on, high-impact role reporting directly to our CTO/CISO and working side-by-side with Technical Operations, Corp IT, Platform Engineering, and our scientific teams.
  • Balancing those is the core intellectual challenge of the job.

Responsibilities

  • Design and implement security controls across all environments - network segmentation and firewalling, IDS/IPS, and traffic analysis on our on-prem Kubernetes platform.
  • Build and enforce host security: EDR, kernel telemetry, hardening, and baseline implementation across the fleet.
  • Own identity and access - AuthN/AuthZ, RBAC, and service identity - grounded in OIDC, SAML, and mTLS.
  • Stand up incident-detection pipelines (SIEM, metrics, endpoint telemetry) tuned to surface high-signal threats over noise, and lead incident response end to end: triage, containment, recovery, root-cause analysis, and forensics.
  • Keep the focus on enablement over restriction - effective security, not compliance for its own sake - while balancing IP protection, customer-data protection, and broad internal information sharing.
  • Partner with Legal and the CISO to obtain the compliance certifications we need and to answer customer questions about the security of our systems

Nice to have

  • high-performance or distributed-compute experience (HPC, GPU clusters)
  • identity-aware proxies or zero-trust architectures
  • offensive security (red teaming, exploit development)
  • secure application development and secure-code training
  • responsible-disclosure/bug-bounty programs
  • AI controls, MCP security, agent security, and AI governance
  • and a background in corporate IT security.
  • The role is right for you if:

Company info

  • Alembic is the pioneering Causal AI platform. We help the world's largest enterprises move past correlation to prove what actually drives business outcomes - the question marketing and growth teams have never been able to answer with confidence. Fortune 100 companies including Nvidia, Delta Air Lines, and Mars use Alembic to make multimillion-dollar decisions on trusted, causal evidence.
  • We're backed by a $145M Series B from WndrCo (founded by Jeffrey Katzenberg), Jensen Huang, Joe Montana, Prysm Capital, and Accenture. Our models run on our own NVIDIA DGX SuperPOD built on Grace Blackwell infrastructure - one of the fastest private supercomputers in the world. (We've melted GPUs getting here.)
  • About the Role
  • We're looking for a lead-level Security Engineer and Architect to own system, network, and host security end-to-end for a rapidly growing on-prem, Kubernetes-based AI factory. This is a hands-on, high-impact role reporting directly to our CTO/CISO and working side-by-side with Technical Operations, Corp IT, Platform Engineering, and our scientific teams. It's not a compliance seat that exists to satisfy published controls - it's the chance to shape our security posture from the ground up, secure high-value client data, and build the team and tooling to do it.
  • Alembic is the pioneering Causal AI platform.
  • We help the world's largest enterprises move past correlation to prove what actually drives business outcomes - the question marketing and growth teams have never been able to answer with confidence.
  • Fortune 100 companies including Nvidia, Delta Air Lines, and Mars use Alembic to make multimillion-dollar decisions on trusted, causal evidence.
  • We're backed by a $145M Series B from WndrCo (founded by Jeffrey Katzenberg), Jensen Huang, Joe Montana, Prysm Capital, and Accenture.
  • Our models run on our own NVIDIA DGX SuperPOD built on Grace Blackwell infrastructure - one of the fastest private supercomputers in the world. (We've melted GPUs getting here.)
  • We have real paying customers and a playbook, and we still move at startup speed at Series B scale.
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This listing is sourced directly from Alembic's careers page and normalized into a canonical job model.