Senior Security Engineer
Sigma Computing3 months ago
Base Salary
$175k - $220k/yr
Responsibilities
- Design, build, maintain, and scale security platforms, services, APIs, automation, and internal tooling.
- Develop security solutions for cloud vulnerability management, network security, detection engineering, incident response, access governance, and security operations.
- Build detections-as-code, security workflows, internal platforms, and scalable security services.
- Design and implement controls for AI applications, LLM-powered services, agents, and AI development workflows.
- Build guardrails and tooling to address 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.
- Implement security controls across SaaS platforms, workforce identities, privileged access, and machine identities.
- Perform architecture reviews and threat modeling for cloud services, AI-enabled applications, APIs, and infrastructure changes.
- Develop custom security tools, dashboards, APIs, services, and integrations, and evaluate emerging technologies for security value.
Requirements
- At least 5 years of hands-on experience in security engineering or related cybersecurity roles.
- Bachelor’s or master’s degree in computer science, cybersecurity, or a similar field.
- Strong software engineering experience building production-grade tools, automation, and security platforms.
- Strong proficiency in Python or similar languages, including tools, open source, APIs, automation, and cloud-native services.
- Strong understanding of cloud architecture, identity systems, networking, operating systems, and modern security principles.
- Experience leveraging AI to improve 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.
- Preferred experience building internal security products, platforms, and developer-focused security tooling.
- Preferred understanding of AI/LLM technologies, AI security risks, secure AI development, Zero Trust, modern identity architectures, and cloud-native security controls.
- CISSP, CCSP, GCIH, GCFA, or equivalent certifications are preferred.
Benefits
- Equity and stock options
- Generous health benefits
- Flexible time off policy
- Paid bonding time for all new parents
- Traditional and Roth 401(k)
- Commuter and FSA benefits
- Lunch program
- Dog-friendly office
- In-office work environment in SF, NYC, London, and Sydney
Tech Stack
Categories
About Sigma Computing
Sigma Computing builds an AI apps and analytics platform that runs directly on cloud data warehouses for business and technical teams to explore live data, build apps, and automate workflows. It’s delivered as SaaS with spreadsheet, SQL, and Python interfaces for governed reporting, embedded analytics, and data applications. Privately held in San Francisco, it serves customers like JPMorgan Chase and Colgate-Palmolive and raised a Series E round in May 2026.