Security Software Engineer (Security)

Company: Snorkel AI

Location: New York City, NY (Hybrid)

Salary: $220k - $300k per year

Type: Full-time

Posted: 2026-09-04

About this role

  • We are seeking a Security Engineer to evolve Snorkel’s security posture across our cloud infrastructure, developer platform, and product ecosystem. You will partner with the security lead to secure cloud environments, build security automation, guide cross-functional initiatives, and embed security into our engineering workflows
  • You will work across infrastructure, platform, product, and application teams to ensure our systems scale securely and meet the bar required for modern, cloud-native, compliance-focused environments. This is a high-impact role where your ability to work effectively with others matters as much as your technical depth
  • Build and scale Infrastructure as Code (IaC) governance strategies that embed security while enabling developer velocity
  • Operate and tune Cloud Security Posture Management (CSPM) tooling and coordinate remediation through engineering teams
  • Investigate security events, triage incidents, identify root causes, and own remediation through resolution
  • Architect secure AWS cloud account structures — landing zones, multi-account patterns, network segmentation, and cross-account role strategies
  • Design and implement network security architectures using security groups, Network Access Control Lists (NACLs), subnetting, routing layers, and egress controls
  • Establish secure-by-default design patterns across Kubernetes and containerized workloads
  • Design, maintain, and govern Identity and Access Management (IAM) role & policy architectures for both human and machine identities
  • Implement encryption everywhere — data-at-rest, data-in-transit, and key rotation using AWS Key Management Service (KMS) and related services
  • Conduct threat modeling, architecture reviews, and secure design assessments for new and existing systems
  • Assess and secure AI/ML product architectures, including trust boundaries, API boundaries, and data flow through training and inference pipelines
  • Build secure automation through Python, AWS-native servic...

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