Enterprise Security Engineer

Senior · Full Time

San Francisco, CAUSD 189k – 256k2mo ago
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Role

What you'll do.

Benchling is seeking an Enterprise Security Engineer to build a cutting-edge security program that leverages AI and automation to protect sensitive biotech research data. The ideal candidate will drive zero trust strategy, implement advanced identity and access management solutions, and help secure the company's innovative AI-powered scientific platform.

Responsibilities

  • Zero Trust Strategy: Drive end-to-end zero trust strategy by integrating identity, device health, network context, and application sensitivity into continuous access decisions
  • Access Management: Design and maintain least-privilege access patterns, implement Just-in-Time (JIT) access, and manage Privileged Access Management (PAM) controls
  • Device Security: Deploy and maintain MDM infrastructure for macOS fleet, ensuring device compliance feeds directly into zero trust access policy decisions
  • Identity Governance: Enforce SSO policies, review and restrict OAuth scopes, and audit third-party integration access
  • Security Tooling: Build processes to detect shadow IT, unauthorized OAuth app grants, and develop AI-native security solutions to reduce analyst burden
  • AI Security Standards: Define and enforce security standards for AI agent and LLM service identities, including scoped API keys and workload identity federation
  • Compliance and Automation: Develop CIS/NIST-aligned configuration baselines and implement automation to reduce manual work

Qualifications

What we look for.

Technical

  • Identity Management

    Deep expertise in Identity Providers (preferably Okta), including SSO, SCIM, MFA, and Lifecycle Management

  • Zero Trust Architecture

    Proven experience implementing continuous verification, device trust integration, and least-privilege enforcement

  • Identity Protocols

    Strong working knowledge of SAML, OIDC, OAuth 2.0, and SCIM

Education

  • Cybersecurity

    Bachelor's degree in Computer Science, Cybersecurity, or related technical field preferred

Experience

  • Security Engineering

    5+ years in security engineering or Identity and Access Management (IAM) focused roles

  • Cloud IAM

    Foundational experience with cloud IAM across AWS, GCP, or Azure

  • Endpoint Management

    Proficiency in managing macOS endpoints at scale using Fleet or equivalent MDM platform

Skills

Required

  • Python

    Scripting proficiency, with ability to develop automation scripts

  • macOS Management

    Hands-on experience with macOS endpoint management and security

  • Zero Trust

    Practical implementation of zero trust security principles

Preferred

  • ZTNA Platforms

    Nice to have

    Experience with Zero Trust Network Access platforms like Cloudflare Access, Zscaler, or Tailscale

  • AI Security

    Nice to have

    Experience in governing AI/ML service identities and securing LLM API integrations

  • Privileged Access Management

    Nice to have

    Familiarity with PAM solutions like HashiCorp Vault or AWS Secrets Manager

Tech stack

Languages

Python

Frameworks

Zero Trust

Tools

OktaFleet

Other

Cloud Platforms

Compensation

Pay and benefits.

Base·USD 189,000 – 256,000

Benefits

  • Hybrid Work

    Flexible work arrangement with 3 days per week in-office collaboration

  • Diverse and Inclusive Environment

    Commitment to diversity, equity, and inclusion in the workplace

Process

Interview steps.

  1. 01

    AI-Focused Exercise

    Candidates will complete a brief AI-focused exercise or discussion to demonstrate AI thinking and application

Full posting

Original listing.

We are rebuilding biotech for the AI era.

When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done.

Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma.

We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today.

ROLE OVERVIEW

As an Enterprise Security Engineer at Benchling you’ll be joining a team responsible for building a best-in-class security program from the ground up. Our focus is on providing value to the organization by emphasizing real world security and embracing automation and AI. We’re looking for engineers who are excited to apply their expertise to our mission of securing some of society's most sensitive data.

 

RESPONSIBILITIES

  •  Drive the organization's zero trust strategy end to end — treating identity, device health, network context, and application sensitivity as continuous inputs to access decisions rather than one-time gates

  • Design and maintain least-privilege access patterns, Just-in-Time (JIT) access, and Privileged Access Management (PAM) controls

  • Deploy, configure, and maintain MDM infrastructure for the macOS fleet, ensuring device compliance feeds directly into zero trust access policy decisions

  • Enforce SSO-required policies, review and restrict OAuth scopes, and audit third-party integration access

  • Build processes and tooling to detect shadow IT, unauthorized OAuth app grants, and SaaS tools that bypass identity controls

  • Evaluate and deploy AI-native security tooling where it demonstrably reduces analyst burden or closes coverage gaps faster than traditional approaches

  • Define and enforce security standards for AI agent and LLM service identities — including scoped API keys, short-lived credentials, and workload identity federation

  • Develop and enforce CIS/NIST-aligned configuration baselines

  • Meaningfully reduce manual toil through automation and, where applicable, AI-assisted tooling

QUALIFICATIONS

  •  5+ years in a security engineering or IAM-focused role

  • Deep, hands-on IdP expertise (preferably Okta) — SSO, SCIM, MFA, Lifecycle Management, and NHI management are all areas you can speak to with depth and demonstrate in practice

  • Demonstrated experience implementing zero trust architecture in practice — not just familiarity with the framework, but hands-on delivery of continuous verification, device trust integration, and least-privilege enforcement across an organization

  • Strong working knowledge of identity protocols: SAML, OIDC, OAuth 2.0, and SCIM

  • Proficiency managing macOS endpoints at scale using Fleet or an equivalent MDM platform

  • Foundational cloud IAM experience across at least one major provider (AWS, GCP, or Azure) — enough to audit, scope, and remediate identity issues

  • Demonstrated track record of building automation that eliminated recurring manual work

  • Scripting proficiency in in at least one language, preferably Python

  • Excellent communication skills, with the ability to engage effectively with both technical teams and non-technical stakeholders.

  • Strong understanding of operating systems fundamentals (MacOS/Linux/Windows)

PREFERRED

  • Experience with ZTNA platforms (Cloudflare Access, Zscaler Private Access, Tailscale, or similar) and the operational patterns around replacing VPN with identity-aware access

  • Hands-on use of AI coding assistants (Copilot, Claude, Cursor, or similar) to increase velocity

  • Experience governing AI/ML service identities or securing LLM API integrations

  • Familiarity with PAM solutions such as HashiCorp Vault, AWS Secrets Manager, or Okta Privileged Access

  • Okta Certified Administrator, Okta Certified Consultant, or equivalent certification

 

HOW WE WORK

We offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site 3 days per week (Monday, Tuesday, and Thursday).

#LI-Hybrid

#BI-Hybrid

#LI-CG1

Benchling welcomes everyone.

We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.

We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.

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