Gusto is a fintech platform providing payroll, HR, and benefits services to over 500,000 small businesses. The Security Operations Analyst role leads medium-sized security initiatives, responds to incidents across cloud and corporate environments, and governs non-human identities and AI/agent security in a distributed team.
What You'll Do
- Own security operations projects end-to-end, breaking down ambiguous goals into deliverables and driving work from design through rollout and measurement
- Triage, investigate, and respond to security incidents across AWS, GCP, and corporate environments; document root causes and lead post-mortem action items
- Monitor and tune alerts from AWS GuardDuty/Security Hub/WAF, GCP Security Command Center, and CSPM platforms to reduce noise and improve detections
- Write Python-based automation and SOAR playbooks to reduce manual incident response work and improve response times
- Govern machine identities, service accounts, and MCP/agent connections; expand DLP policies for AI-connected tools and manage unowned cloud secrets
- Hunt for threats using threat intelligence and team playbooks; translate findings into new detections and playbooks
- Use AI-assisted tools (Claude Code, Claude Skills, MCP) for investigation and querying while mitigating AI-specific security risks
- Mentor newer teammates, partner with product and IT teams, and participate in lightweight business-hours on-call rotation
What You Need
- 5+ years of experience in security operations, incident response, SOC analysis, or related field
- Demonstrated experience leading or owning projects, including cross-team coordination
- Hands-on incident response experience including investigation, root cause analysis, and post-incident follow-through
- Working knowledge of security monitoring, incident response, and vulnerability management
- Familiarity with core cloud security services across AWS, GCP, or similar cloud providers
- Comfort working in Linux environments
- Proficiency in Python for scripting and automation
- Hands-on experience with enterprise security tools (SIEM, EDR, SOAR, DLP)
- Strong analytical and problem-solving skills with ability to communicate findings and escalatre appropriately
- Comfortable using AI-assisted tooling with working understanding of AI-specific security risks (prompt injection, data exfiltration, over-permissioned agents)
- Familiarity with identity and access concepts (service accounts, API keys/tokens, OAuth) and AI agent identity risks
- Willingness and ability to participate in lightweight business-hours-oriented on-call rotation
Nice to Have
- Experience with log analysis or digital forensics in cloud or on-premise environments
- Experience with incident response involving multiple stakeholders
- Experience writing or improving detections and playbooks
- Familiarity with common vulnerability classes and remediation approaches
- Exposure to CI/CD security concepts (e.g., GitHub Dependabot dependency scanning)
- Familiarity with common security frameworks (NIST, SOC 2)
- Experience with identity and access management, non-human identity, secrets management, or MCP/agent architecture
- Experience mentoring or onboarding teammates
- Security certifications such as Security+ or GSEC (advanced certifications like CISSP or CISM not expected at this level)
Base salary $147,000–$164,000 in Denver; $178,000–$199,000 in New York and San Francisco Bay Area. Stock equity (RSUs) is additional. Final offer amounts determined by candidate experience, expertise, and location.