Software Engineer — Security
Snorkel AI · New York, NY · 2 wk ago
Engineering$220k–$300k/yrFull-time
About Snorkel 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! About The 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. Key Responsibilities Build and scale Infrastructure as Code (IaC) governance strategies that embed security while enabling developer velocityOperate and tune Cloud Security Posture Management (CSPM) tooling and coordinate remediation through engineering teamsInvestigate security events, triage incidents, identify root causes, and own remediation through resolutionArchitect secure AWS cloud account structures — landing zones, multi-account patterns, network segmentation, and cross-account role strategiesDesign and implement network security architectures using security groups, Network Access Control Lists (NACLs), subnetting, routing layers, and egress controlsEstablish secure-by-default design patterns across Kubernetes and containerized workloadsDesign, maintain, and govern Identity and Access Management (IAM) role & policy architectures for both human and machine identitiesImplement encryption everywhere — data-at-rest, data-in-transit, and key rotation using AWS Key Management Service (KMS) and related servicesConduct threat modeling, architecture reviews, and secure design assessments for new and existing systemsAssess and secure AI/ML product architectures, including trust boundaries, API boundaries, and data flow through training and inference pipelinesBuild secure automation through Python, AWS-native services, and policy-as-code frameworksOwn complex security projects end-to-end — from discovery and design docs to implementation, rollout, and long-term ownershipAlign 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 audiencesWrites concise, structured technical documentation — design docs, runbooks, postmortems, and policy proposals that others can act on without follow-up clarificationBuilds alignment on security priorities across teams without relying on positional authority — a small security team cannot mandate adoption; it must earn buy-in Cross-Functional Partnership Builds trust with engineering, product, and infrastructure teams by proposing solutions that balance security posture with developer velocity — security controls that teams resist or work around deliver zero impactDefaults to collaboration over enforcement — works with teams to find the right path forward rather than handing down requirementsSeeks to understand the workflows, constraints, and incentives of partner teams before proposing changes — the best security solution is one the team will actually implement and maintain Ownership & Judgment Comfortable with broad ownership, context-switching, and exercising judgment without a large support structure — this role requires self-direction, not delegationExercises sound judgment on when to push hard on a security requirement versus when to accept managed risk with compensating controlsBalances thoroughness with pragmatism — delivers iterative security improvements that compound over time rather than waiting for perfect solutions that never shipManages multiple concurrent initiatives with clear ownership, status communication, and escalation when blocked Teaching & Growth Multiplies impact by making others better — equips engineers across the organization to build securely by default through training, code review feedback, and accessible documentationFrames security guidance as enablement rather than enforcement — helps teams understand the why behind requirements so they can make sound security choices on their ownConsistently seeks feedback, stays current on evolving threats and technologies, and treats gaps in knowledge as opportunities — a coachable mindset and commitment to continuous learning are essential in a domain that changes constantly Technical Skills & Experience The skills below are grouped into what we consider foundational for this role and additional areas where you will contribute and grow. Depth across every area is not expected — we value solid fundamentals and the ability to learn. Foundational Programming skills in Python, Go, or similar languages, with the ability to build security tooling and automationExperience building and operating systems at scale in cloud-native, containerized environmentsProficiency with Infrastructure as Code (Terraform): writing modules, CI/CD pipelines, deployment governance, and security reviewsAWS cloud architecture: multi-account strategies, landing zones, environment isolation, and cross-account role designIdentity and Access Management (IAM): role and policy architectures, least privilege, human and machine identity patternsNetwork security: security groups, Network Access Control Lists (NACLs), Virtual Private Cloud (VPC) design, subnet segmentation, routing layers, and egress controls Additional Areas You'll Contribute To Threat modeling and secure design assessments for new and existing systemsEncryption and key management: data-at-rest, data-in-transit, key rotation using AWS KMS, Secrets Manager, or HashiCorp VaultContainer and OS hardening: secure base images, hardened Amazon Machine Images (AMIs), runtime protectionsCloud Security Posture Management (CSPM) tooling — deployment, tuning, and coordinating remediation workflows through engineering teamsSecurity event investigation: triage, root cause assessment, and remediation ownershipVulnerability management lifecycle: scanning, prioritization, tracking, and closureAI/ML security: awareness of risks specific to AI/ML systems (prompt injection, data poisoning, model extraction, training data protection) and ability to assess trust boundaries in AI product architecturesCompliance and security frameworks: NIST CSF, ISO 27001, SOC 2, CIS benchmarksDesigning secure architectures for high-growth SaaS or cloud-native environments Preferred Experience (Nice-to-Have) Secure development lifecycle (SDLC) practices: static analysis (SAST), software composition analysis (SCA), software bill of materials (SBOM) automation, secrets scanning, or bug bounty program managementIncident response: digital forensics and incident response (DFIR), forensic investigation, or on-call security operationsDetection engineering: Security Information and Event Management (SIEM) platforms, correlation rules, alert tuning, or Security Orchestration, Automation and Response (SOAR) playbooksOffensive security: penetration testing, red team exercises, or adversarial testing of AI systemsMulti-cloud environments (GCP, Azure) in addition to AWSZero-trust architecture practices and secure workspace designData loss prevention (DLP) strategies for protecting training data and customer data What You'll Impact You will embed security from code to cloud — ensuring our systems, data, customer environments, and developer workflows operate securely at scale. This role carries broad influence, high ownership, and the opportunity to shape modern cloud security architecture across the organization. Snorkel is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location. Salary range(s) for this role $220,000—$300,000 USD Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.