Security Operations Analyst

Gusto; Los Angeles (CA); Hybrid; USD 130,000 - 185,000; Full time

Benefits offered by this job

Competitive base pay

Benefits

Equity (RSUs)

Job summary

Gusto is seeking a Security Operations Analyst to own end-to-end security projects, lead incident response, and improve detection across multi-cloud environments. You'll develop Python automations, tune detections, and contribute to post-mortems and governance of non-human identities.

You'll work with cross-functional teams in a distributed setup, participate in on-call rotations, mentor teammates, and help strengthen our security posture while aligning with AI-assisted tooling and risk

Qualifications

• 5+ years of experience in security operations, incident response, SOC analysis, or a closely related field.
• Demonstrated experience leading or serving as the primary owner of a project or initiative, including coordinating with other teams.
• Hands-on experience responding to security incidents, 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 major providers (AWS, GCP, or similar) and cloud security fundamentals.
• Comfortable working in Linux environments.
• Proficiency in Python for scripting and automation.
• Hands-on experience with enterprise security tools (SIEM, EDR, SOAR, DLP). Deploying or architecting these tools from scratch is not expected at this level.
• Strong analytical and problem-solving skills, with the ability to communicate findings clearly and elevate appropriately.
• Comfortable using AI-assisted tooling (e.g., Claude Code, Claude Skills, MCP-connected tools), with a working understanding of AI-specific security risks and how to mitigate them.
• Familiarity with identity and access concepts (service accounts, API keys/tokens, OAuth) and curiosity about AI agents and MCP-connected tools introduce new risk.

Responsibilities

• Own security operations projects end to end.
• Lead and participate in incident response.
• Improve detection and monitoring.
• Build security operations automation.
• Threat hunting.
• Non-human identity and agentic AI governance (roughly one-third of your time).
• AI-assisted security operations.
• Collaborate and mentor.
• Participate in the on-call rotation.

Skills

Security ops

Incident response

Python scripting

Cloud security

Linux

Communication

Analytical thinking

Tools

SIEM

EDR

SOAR

DLP

Job description

About the company

At the company, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build the company should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at the company. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the team

The Security Operations team at the company plays a critical role in fortifying the company and our customers against sophisticated threats: phishing attacks, insider risks, data loss, and emerging attack techniques. Our distributed team across Eastern and Pacific time zones monitors, investigates, and responds to security events during business hours, with a lightweight rotation for rare after-hours escalation of critical incidents.

We're looking for a Security Operations analyst with 5+ years of experience to own and deliver security operations projects, take an active role in incident response, and raise the bar for how our team detects and responds to threats. You'll work across our multi-cloud environment (AWS, GCP, and others), build Python-based automation, and help govern the fastest-growing part of our attack surface: non-human identities and AI/agent connections. You'll be the directly responsible individual for medium-sized initiatives, work closely with senior analysts, and help mentor newer teammates.

Here's what you'll do

Own security operations projects end to end. Take medium-sized initiatives (typically 1-2 months, often spanning multiple teams) from problem definition through design, rollout, and measurement. Break down ambiguous goals into deliverables, set expectations with stakeholders, communicate progress and risks, and drive work to completion.

Lead and participate in incident response. Triage, investigate, and respond to security incidents across our cloud and corporate environments. Serve as a core responder, document root cause and remediation, write or contribute to post-mortems, and own the completion of post-mortem action items so lessons turn into lasting improvements.

Improve detection and monitoring. Monitor and triage alerts from tools like AWS GuardDuty/Security Hub/WAF, GCP Security Command Center, and our CSPM platform. Tune and improve detections, reduce noise, and recommend configuration and process improvements based on what you learn from investigations.

Build security operations automation. Write Python to extend our automation frameworks and SOAR playbooks, reducing manual work and improving response times. Own the quality, testing, and documentation of what you ship.

Threat hunting. Hunt for threats across our multi-cloud and corporate environments using threat intelligence and the team's playbooks, and turn findings into new detections or playbooks.

Non-human identity and agentic AI governance (roughly one-third of your time). Help govern machine identities, service accounts, and MCP/agent connections that now outnumber human accounts. Drive improvements such as expanding DLP/Nightfall policy coverage for AI and MCP-connected tools, attributing and cleaning up unowned cloud secrets and service accounts, and moving our MCP review process from reactive intake to proactive, risk-based governance.

AI-assisted security operations. Use AI-assisted tooling (e.g., Claude Code, Claude Skills, MCP-connected tools) to work faster on querying, investigating, and drafting, and apply sound judgment about risks specific to AI tooling, such as prompt injection, data exfiltration through connected tools, and over-permissioned agents. Help set team norms for reviewing and validating AI-assisted work.

Collaborate and mentor. Partner with analyzing, IT, and product teams to support secure practices and communicate findings clearly to technical and non-technical stakeholders. Mentor newer teammates, share what you learn through documentation and knowledge sharing, and contribute to hiring by interviewing candidates.

Participate in the on-call rotation. This is a business-hours role with a lightweight on-call rotation for rare after-hours escalations, not a 24/7 pager rotation. You'll join the roster (currently about one week per month, shifting to roughly every 5-6 weeks as the team grows), respond to security incidents, and follow through on post-mortem action items afterward.

Here's what we're looking for

Minimum requirements

• 5+ years of experience in security operations, incident response, SOC analysis, or a closely related field.
• Demonstrated experience leading or serving as the primary owner of a project or initiative, including coordinating with other teams.
• Hands-on experience responding to security incidents, 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 major providers (AWS, GCP, or similar) and cloud security fundamentals.
• Comfortable working in Linux environments.
• Proficiency in Python for scripting and automation.
• Hands-on experience with enterprise security tools (SIEM, EDR, SOAR, DLP). Deploying or architecting these tools from scratch is not expected at this level.
• Strong analytical and problem-solving skills, with the ability to communicate findings clearly and elevate appropriately.
• Comfortable using AI-assisted tooling (e.g., Claude Code, Claude Skills, MCP-connected tools), with a working understanding of AI-specific security risks (prompt injection, data exfiltration via connected tools/MCPs, over-permissioned agents) and how to mitigate them.
• Familiarity with identity and access concepts (service accounts, API keys/tokens, OAuth) and curiosity about how AI agents and MCP-connected tools introduce new identity and access risk. Deep specialist experience is not expected at this level.
• Willingness and ability to participate in a lightweight, business-hours-oriented on-call rotation.

Preferred qualifications

• 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., dependency scanning tools like GitHub Dependabot).
• Familiarity with common security frameworks (e.g., 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 (e.g., Security+, GSEC) are a plus. Advanced certifications (CISSP, CISM, etc.) are not expected at this