Senior Security Engineer

Sigma Computing Sigma Computing · Data AI · San Francisco, CA · Security / GRC / IT

Senior Security Engineer focused on building security capabilities for a cloud-native SaaS platform, with a strong emphasis on AI security, LLM security, automation, and scalable security operations. The role involves designing and implementing security controls, guardrails, and monitoring for AI applications, LLM services, agents, and development workflows, leveraging AI extensively to enhance security operations and engineering.

What you'd actually do

  1. Design, build, and maintain security platforms, services, APIs, automation, and internal tooling.
  2. Leverage AI extensively to accelerate investigations, automate workflows, improve decision making, and reduce operational overhead.
  3. Design and implement security controls for AI applications, LLM-powered services, agents, and AI development workflows.
  4. Build guardrails and security tooling to identify and mitigate risks such as prompt injection, data leakage, model misuse, excessive permissions, insecure plugins, and unsafe AI interactions.
  5. Develop monitoring, detection, and response capabilities for AI systems and AI-generated content.

Skills

Required

  • Security Engineering
  • Python
  • building production-grade tools
  • automation
  • security platforms
  • cloud-native services
  • cloud architecture
  • identity systems
  • networking
  • operating systems
  • modern security principles
  • AWS, Azure, or GCP environments
  • SIEM
  • EDR
  • WAF
  • Network Security
  • Cloud security
  • SaaS security
  • IAM
  • Security monitoring technologies
  • analytical skills
  • communication skills
  • problem-solving skills

Nice to have

  • building internal security products
  • platforms
  • developer-focused security tooling
  • AI/LLM technologies
  • AI security risks
  • secure AI development practices
  • Zero Trust
  • modern identity architectures
  • cloud-native security controls
  • CISSP
  • CCSP
  • GCIH
  • GCFA

What the JD emphasized

  • building security capabilities from the ground up
  • AI security
  • automation
  • scalable security operations
  • AI security
  • LLM security
  • AI development workflows
  • leverage AI extensively
  • AI innovation
  • AI/LLM technologies
  • AI security risks
  • secure AI development practices

Other signals

  • AI security controls
  • LLM-powered services security
  • AI development workflows security
  • guardrails for AI
  • monitoring AI systems