Senior Security Engineer- Incident Response at Sigma Computing

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SaaS, CybersecurityIndustries

Requirements

Bachelor’s or Master’s Degree in Computer Science, Cyber Security or related fields
Relevant certifications such as GCIH, GCFA, GNFA, CISSP, CCSP, or AWS Security Specialty
Proven ability to produce high-quality results in a fast-paced SaaS environment or similar large scale environment
6+ years of hands-on experience in Security Engineering, Cloud Security, Incident Response with a strong focus on Cloud Security & Incident Response – including host/cloud forensics, threat hunting, detection engineering in SaaS or Cloud first Organizations
Strong proficiency in scripting languages (e.g., Python, Go, PowerShell) for automation, data analysis, and security tooling development
Demonstrated experience building, maturing, and scaling incident response programs

Responsibilities

Build, mature, and operate a robust incident detection and response program, encompassing people, processes, and technology
Provide expertise and guidance during critical security events, acting as a technical SME and primary point of contact to senior management
Develop and implement advanced detection methodologies, rules, and alerts to identify sophisticated threats rapidly
Manage the full lifecycle of security incidents, from initial detection and triage to containment, eradication, recovery, and thorough post-incident review
Architect and implement security automation solutions to streamline incident response workflows, enrich alerts, and facilitate faster remediation
Work with cross-functional teams and internal stakeholders like Legal, VP Security, Executive teams and External IR retainer in case of high severity Incidents impacting customers
Collaborate closely with engineering, operations, and product teams to integrate security best practices, enhance logging, and ensure swift remediation of vulnerabilities identified during incidents
Document incident findings, lessons learned, and contribute to the development of actionable intelligence to prevent future occurrences
Drive advanced threat hunting and forensics to uncover malicious activity through proactive hunts, network forensics, and cloud/host-based investigations
Design, implement, and continuously improve Sigma Cloud Security in all environments - AWS, GCP, Azure
Enhance Vulnerability management – identify, prioritize, and guide remediation of risks across cloud infrastructure and applications
Advance Cloud and network security – build standards and protections to defend workloads, identities, Sigma services and data
Develop and mature IR runbooks, playbooks, and automations to scale security response across environments
Use AI securely and effectively to make the team efficient and scale Security Practices
Stay ahead of evolving threats – leverage intelligence, attack simulation, and red/blue team learnings to refine defenses

Skills

Incident Response

Cloud Security

SaaS Security

Detection Engineering

Security Automation

Incident Triage

Containment

Eradication

Post-Incident Review

SIEM

Threat Hunting

Sigma Computing

Cloud-based data analytics platform for businesses

About Sigma Computing

Sigma Computing offers a cloud-based data analytics platform that enables businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features such as data collection, territory management, and revenue planning without needing coding skills. The platform is scalable, allowing for the analysis of billions of rows of data, and promotes self-service capabilities for faster insights. Recently, Sigma introduced AI features like data classification and natural language processing to enhance data analysis and support Enterprise AI initiatives.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$550.9MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Competitive pay - Looking for a great salary and solid stock options? You’ve come to the right place.

Flexible schedule - Do the work you need to get done in the time you have to get it done

Amazing benefits - Medical, dental, vision, 401k, FSA, commuter… we’ve got you covered. Literally.

Flexible vacation - At Sigma, we work to live, not live to work. So go on, book that dream vacation.

Health & wellness - A healthy body supports a healthy mind, so we partner with Crunch Fitness and CorePower.

Family-friendly - From flexible scheduling to parental leave to kids’ birthdays off, we support Sigma families.

Risks

Competition from Tableau and Power BI could threaten Sigma's market share.

Reliance on platforms like Snowflake may impact service delivery if disruptions occur.

High valuation pressures Sigma to deliver rapid growth, risking strategic misalignment.

Differentiation

Sigma offers a spreadsheet-like interface for non-technical users to analyze data.

The platform integrates with major data warehouses like Snowflake and BigQuery.

Sigma's AI features include natural language processing and sentiment analysis.

Upsides

Sigma raised $200M in Series D funding, valuing it at $1.5 billion.

The platform's scalability allows analysis of billions of data rows efficiently.

Sigma's partnerships enhance data accessibility and integration for users.

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