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Sigma Computing

Builds analytics apps on cloud warehouse data

Senior Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of hands-on experience in Security Engineering or related cybersecurity roles.
  • A Bachelor's or Master's degree in Computer Science, Cyber Security, or a similar field.
  • A strong software engineering mindset, with demonstrated experience building production-grade tools, automation, and security platforms.
  • The ability to build rather than buy when practical and to create scalable internal solutions.
  • Strong proficiency in Python or similar languages, with experience building tools, using open source, working with APIs, automation, and cloud-native services.
  • A strong understanding of cloud architecture, identity systems, networking, operating systems, and modern security principles.
  • Experience leveraging AI to transform security operations and engineering workflows.
  • Hands-on experience securing AWS, Azure, or GCP environments.
  • Experience with SIEM, EDR, WAF, Network Security, Cloud security, SaaS security, IAM, and Security monitoring technologies.
  • Strong analytical, communication, and problem-solving skills.

Responsibilities

  • 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.
  • Use AI to accelerate investigations, automate workflows, improve decision making, and reduce operational overhead.
  • 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.
  • 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.
  • Identify opportunities to leverage AI, automation, and modern engineering practices to solve security challenges.
  • Develop custom security tools, dashboards, APIs, services, and integrations.
  • Evaluate emerging technologies and drive adoption where they provide measurable security and operational value.

Desired Qualifications

  • Experience building internal security products, platforms, and developer-focused security tooling.
  • A strong understanding of AI/LLM technologies, AI security risks, and secure AI development practices.
  • Knowledge of Zero Trust, modern identity architectures, and cloud-native security controls.
  • CISSP, CCSP, GCIH, GCFA, or equivalent certifications.

About the Company

Sigma Computing

Builds analytics apps on cloud warehouse data

Sigma Computing builds cloud analytics software for business and data teams that need to explore company data and turn findings into operational workflows. Its workbooks combine a spreadsheet interface with charts and dashboards, so teams work with live warehouse data without downloading separate copies. Users build applications for forecasting, approvals and other business processes, while administrators control access through the permissions of the connected data platform. The company sells subscriptions with licenses matched to whether users view reports, contribute data, analyze information or build applications. Founded in 2014, Sigma Computing is headquartered in San Francisco.

Company size
501-1,000
Company stage
Series D
Total funding
$581.3M
Headquarters
San Francisco, CA
Founded
2014

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