Job description

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 emerging technologies and drive adoption where they provide measurable security and operational value. What We’re Looking For Required Qualifications 5+ years of Hands-on experience in Security Engineering, or related cybersecurity roles. Bachelor or Masters in Computer Science, Cyber Security or similar roles. Strong software engineering mindset with demonstrated experience building production-grade tools, automation, and security platforms. Proven ability to build versus buy whenever practical and create scalable internal solutions. Strong proficiency in Python or similar languages, with experience building tools,using 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 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. Preferred Qualifications Experience building internal security products, platforms, and developer-focused security tooling. 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. Additional Job details The base salary range for this position is $175k - $220k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase. Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Requirements

Must-haves

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

Nice-to-haves

Experience building internal security products, platforms, and developer-focused security tooling.
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.
Additional Job details
Come join us!

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmpythonawsazuregcpsql

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

401k