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Software Engineer - Security

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Software Engineer - Security in USA

  • Snorkel AI
  • Full time
  • Email
  • San Francisco, CA

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.

Salary: $220k - $300k/yr

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...

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