Software Engineer — Security

Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes.

Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

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 services, and policy-as-code frameworks

• Own complex security projects end-to-end — from discovery and design docs to implementation, rollout, and long-term ownership

• Align cloud security strategy with relevant frameworks (NIST CSF, ISO 27001, SOC 2, CIS benchmarks)

Professional Skills

Security at a growing startup is not a solo effort. This role succeeds by making the entire organization more secure through the people and teams around you. These skills are not secondary to technical ability — they shape whether security work actually lands and delivers lasting impact.

Communication & Influence

• Communicates security risks, trade-offs, and recommendations clearly to both technical and non-technical audiences

• Writes concise, structured technical documentation — design docs, runbooks, postmortems, and policy proposals that others can act on without follow-up clarification

• Builds alignment on