Writer

Software security engineer, embedded

Writer

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Job Level

Mid-LevelSenior

Tech Stack

CloudDistributed SystemsGoPython

About the role

  • Protect customers at scale — Build fraud detection, rate limiting, abuse prevention, and LLM interaction controls (prompt injection prevention, output filtering).
  • Own customer identity security — Design and implement authentication and authorization systems, protecting customer data and AI service interactions.
  • Engineer security platforms — Create tools and dashboards that automate repetitive security tasks, track vulnerabilities, and enable cross-team security efficiency.
  • Build reusable security frameworks — Develop secure-by-default APIs, SDKs, cryptographic libraries, and communication frameworks for company-wide use.
  • Strengthen platform security — Implement multi-party authorization, secrets management, audit logging, and zero-trust networking components.
  • Empower developers — Deliver self-service security tools and frameworks that integrate seamlessly with engineering workflows.
  • Lead technically — Drive the architecture of security systems, mentor engineers, review designs, and 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.
  • Preferred: 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.