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 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 impact
Defaults to collaboration over enforcement — works with teams to find the right path forward rather than handing down requirements
Seeks 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 delegation
Exercises sound judgment on when to push hard on a security requirement versus when to accept managed risk with compensating controls
Balances thoroughness with pragmatism — delivers iterative security improvements that compound over time rather than waiting for perfect solutions that never ship
Manages 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 documentation
Frames security guidance as enablement rather than enforcement — helps teams understand the why behind requirements so they can make sound security choices on their own
Consistently 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 automation
Experience building and operating systems at scale in cloud-native, containerized environments
Proficiency with Infrastructure as Code (Terraform): writing modules, CI/CD pipelines, deployment governance, and security reviews
AWS cloud architecture: multi-account strategies, landing zones, environment isolation, and cross-account role design
Identity and Access Management (IAM): role and policy architectures, least privilege, human and machine identity patterns
Network security: security groups, Network Access Control Lists (NACLs), Virtual Private Cloud (VPC) design, subnet segmentation, routing layers, and egress controls
a Bachelors degree (or equivalent work experience) is required
Additional Areas You'll Contribute To
Threat modeling and secure design assessments for new and existing systems
Encryption and key management: data-at-rest, data-in-transit, key rotation using AWS KMS, Secrets Manager, or HashiCorp Vault
Container and OS hardening: secure base images, hardened Amazon Machine Images (AMIs), runtime protections
Cloud Security Posture Management (CSPM) tooling — deployment, tuning, and coordinating remediation workflows through engineering teams
Security event investigation: triage, root cause assessment, and remediation ownership
Vulnerability management lifecycle: scanning, prioritization, tracking, and closure
AI/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 architectures
Compliance and security frameworks: NIST CSF, ISO 27001, SOC 2, CIS benchmarks
Designing 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 management
Incident response: digital forensics and incident response (DFIR), forensic investigation, or on-call security operations
Detection engineering: Security Information and Event Management (SIEM) platforms, correlation rules, alert tuning, or Security Orchestration, Automation and Response (SOAR) playbooks
Offensive security: penetration testing, red team exercises, or adversarial testing of AI systems
Multi-cloud environments (GCP, Azure) in addition to AWS
Zero-trust architecture practices and secure workspace design
Data 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.
