Security Engineer, Corporate Security

About the role

Multifaceted security engineer position focusing on identity, endpoint, SaaS, and workforce infrastructure security.

Responsibilities

• Harden our identity and access management stack, including Okta and Google Workspace, with phishing-resistant MFA, strong SSO and SCIM lifecycles, and least-privilege access across SaaS.
• Operate endpoint security program across a macOS-first fleet, including MDM, EDR, and configuration baselines, with working coverage for Windows and ChromeOS.
• Secure AI tool usage at the endpoint, including governance of large language models, AI agents, and model context protocol (MCP) integrations; detect and prevent unauthorized or risky AI service access and data exfiltration through AI-enabled tools.
• Reduce SaaS risk at scale through SSPM tooling and custom automation, including detection of risky OAuth grants, excessive permissions, shadow IT, and configuration drift.
• Write code (Python, Terraform) to automate access reviews, onboarding and offboarding, configuration drift detection, and audit evidence collection.
• Partner with Detection & Response to ensure corporate systems produce the telemetry needed to detect identity, endpoint, and SaaS abuse.
• Support SOC 2, ISO 27001, and customer audits as a byproduct of good engineering, not a separate workstream.
• Partner with Detection & Response on investigation and response for corporate security incidents, including phishing, account compromise, lost devices, and BEC.

Requirements

5+ years of hands-on experience in corporate security, enterprise security, or IT security engineering at a cloud-native company.

Working knowledge of a major identity provider (Okta, Entra, or Google Workspace) and the underlying protocols (SAML, OIDC, OAuth 2.0, SCIM).

Hands-on experience operating endpoint management and detection tooling across macOS and enterprise environments.

Write production-quality scripts and automation in Python or Bash, and have shipped Terraform or other infrastructure-as-code for security configuration.

Familiarity with SaaS security risks (OAuth governance, audit logging, SSPM) and the realities of integrating a long tail of vendors.

Experience at a fast-growing tech or AI company where the security program had to outpace headcount.

Background in IT engineering, SRE, or production engineering that transitioned into security engineering.

Experience building internal security tooling or workflows that improved employee or developer experience.

Contributions to the security community through open-source tools, blog posts, or conference talks.

Qualifications

• Experience with at least one major cloud platform (AWS, GCP, or Azure) at the security configuration level.
• Communicate clearly in writing and work effectively across IT, Engineering, Legal, People, and GRC.

Skills

Intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work.

Benefits

Competitive cash compensation, equity, and benefits.

Pay

Based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below.

Schedule

Flexible work schedule.