Writer

Software security engineer, embedded

Writer

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Job Level

SeniorLead

Tech Stack

CloudDistributed SystemsGoPython

About the role

  • Design, build, and scale the systems that protect our users, their data, and their interactions with our AI/AGI services.
  • Security tools, frameworks, and controls for millions of users without slowing them down.
  • Fraud prevention, abuse detection, identity systems, and secure-by-default development platforms.
  • Customer authentication and authorization systems; internal security platforms and tools; security libraries and dashboards.
  • Security libraries and frameworks for engineering teams.
  • Strengthen platform security, including multi-party authorization, secrets management, audit logging, and zero-trust networking.
  • Build reusable security frameworks—secure-by-default APIs, SDKs, cryptographic libraries, and communication frameworks for company-wide use.
  • Lead technically; drive the architecture of security systems; mentor engineers; review designs; influence security strategy across the organization.

Requirements

  • 8+ years in software engineering, building production systems.
  • 5+ years developing security-focused tools, libraries, or platforms.
  • Proven success building systems adopted by hundreds of engineers.
  • Experience with fraud detection or abuse prevention at scale.
  • Deep expertise in distributed systems and API design.
  • Strong programming skills in Go, Python, or similar languages.
  • Expert in software design patterns and scalable architectures.
  • Proficiency with authentication and authorization protocols (OAuth, SAML, OIDC).
  • Understanding of LLM security challenges and mitigation strategies.
  • Experience building high-performance, customer-facing systems.
  • Hands-on with data processing, analytics, and automation platforms.
  • Track record of 90%+ adoption of security tools by engineering teams.
  • History of reducing security friction through automation and thoughtful design.
  • Proven ability to scale security systems to millions of users.
  • Strong product sense and empathy for customer experience.
  • Background in fraud or risk engineering at scale.
  • Experience with AI/ML-specific security challenges.
  • Knowledge of financial security and compliance standards.
  • Contributions to open-source security projects.
  • Experience at consumer-facing technology companies.