Software Engineer — Security
Snorkel AIBase Salary
$220k - $300k/yr
Responsibilities
- Build and govern Infrastructure as Code security strategies and developer security workflows.
- Operate and tune Cloud Security Posture Management tooling and coordinate remediation with engineering teams.
- Investigate security events, triage incidents, identify root causes, and own remediation through resolution.
- Architect AWS cloud account structures, landing zones, multi-account patterns, network segmentation, and cross-account access.
- Design network security architectures using security groups, NACLs, subnetting, routing layers, and egress controls.
- Establish secure-by-default patterns for Kubernetes and containerized workloads.
- Design and govern IAM roles and policies for human and machine identities.
- Implement encryption, key rotation, threat modeling, architecture reviews, and secure design assessments.
- Assess security risks and trust boundaries across AI/ML product architectures and data pipelines.
- Build security automation with Python, AWS-native services, and policy-as-code frameworks.
- Own security projects end-to-end from discovery and design through implementation, rollout, and ongoing ownership.
- Align cloud security practices with NIST CSF, ISO 27001, SOC 2, and CIS benchmarks.
Requirements
- Programming skills in Python, Go, or similar languages for security tooling and automation.
- Experience building and operating systems at scale in cloud-native, containerized environments.
- Proficiency with Terraform, including modules, CI/CD pipelines, deployment governance, and security reviews.
- Experience with AWS cloud architecture, multi-account strategies, landing zones, environment isolation, and cross-account role design.
- Experience designing IAM role and policy architectures using least-privilege principles for human and machine identities.
- Experience with network security, including security groups, NACLs, VPC design, subnet segmentation, routing, and egress controls.
- Knowledge of threat modeling, secure design assessments, encryption, key management, container and OS hardening, vulnerability management, and CSPM tooling.
- Awareness of AI/ML security risks such as prompt injection, data poisoning, model extraction, and training data protection.
- Preferred experience with secure development lifecycle practices, SAST, SCA, SBOM automation, secrets scanning, bug bounty programs, DFIR, SIEM, SOAR, penetration testing, red-team exercises, GCP, Azure, zero-trust architecture, and DLP.
- Strong communication, technical documentation, cross-functional collaboration, ownership, judgment, teaching, and continuous-learning abilities.
Benefits
- Salary range is $220,000—$300,000 USD.
- The company offers a market-proven product, robust funding, and a rapidly scaling environment combining stability with high growth.
- Employees have opportunities to shape priorities, influence strategic decisions, deepen technical expertise, explore leadership opportunities, and learn across functions.
- Snorkel supports career growth, learning, shared success, diversity, equal employment opportunity, and reasonable accommodations.
About Snorkel AI
Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine platform technology with research-driven 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. Snorkel led the development of Senior SWE-Bench and launched Open Benchmarks Grants with a $3 million commitment to support open-source datasets, benchmarks, and evaluation research. Supported projects include Agents’ Last Exam, OSWorld 2.0, Terminal-Bench, Continual Learning Bench, and SlopCode Bench. Learn more at snorkel.ai or follow @SnorkelAI.