Sigma Computing
Sigma Computing→

Senior Security Engineer

Full-timeSan Francisco, CA and New York, New YorkSecurity / GRC / IT1mo ago

Job Overview

Location: New York City or San Francisco - 4 days in office

About the Role We are looking for a highly technical Senior Security Engineer who thrives on building security capabilities from the ground up. This role is ideal for someone who enjoys solving complex security challenges through engineering, automation, and AI rather than relying solely on commercial tools. You will help build, scale, and continuously evolve the next generation of security capabilities across our cloud-native SaaS platform, with a strong focus on AI security, automation, and scalable security operations.

We are looking for engineers who enjoy solving security problems across multiple domains rather than specializing exclusively in a single area. You will join a highly technical Security Engineering team that values innovation, ownership, and building scalable security solutions.

This is a hands-on engineering role for builders, innovators, and problem-solvers who want to create security solutions that operate at scale.

What You’ll Do Security Engineering

  • Design, build, and maintain security platforms, services, APIs, automation, and internal tooling.
  • Develop solutions that streamline Cloud vulnerability management, Network Security, Detection engineering, Incident response, access governance, and security operations.
  • Use software engineering principles to build detections-as-code, security workflows, internal platforms, and scalable security services that enable the organization to move faster while remaining secure.
  • Leverage AI extensively to accelerate investigations, automate workflows, improve decision making, and reduce operational overhead.

AI & LLM Security

  • Design and implement security controls for AI applications, LLM-powered services, agents, and AI development workflows.
  • 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.
  • Develop monitoring, detection, and response capabilities for AI systems and AI-generated content.
  • Partner with product and engineering teams to securely enable AI innovation across the organization.

Identity & SaaS Security

  • Build and maintain detections-as-code across cloud, identity, endpoint, SaaS, and application environments.
  • Design and implement security controls across SaaS platforms, workforce identities, privileged access, and machine identities.
  • Partner with engineering teams to implement secure-by-design architectures and security best practices.
  • Perform architecture reviews and threat modeling for cloud services, AI-enabled applications, APIs, and infrastructure changes.

Security Innovation & Automation

  • Continuously identify opportunities to leverage AI, automation, and modern engineering practices to solve security challenges.
  • Develop custom security tools, dashboards, APIs, services, and integrations.
  • Evaluate emer

Core Requirements

Security / GRC / IT