Systems Engineer, Corporate Security

About the job

This is a fully remote job, open to people in United States.

About Ramp

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

The problems are high-stakes, data-dense, and unforgiving.

We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

About the role

Corporate Security at Ramp owns the security of our internal environment: the device fleet, the identity and access layer, and the AI tools employees use for their work. We are hiring a Systems Engineer to build and operate the controls across these systems.
The role is hands-on, writing code and building agentic loops wherever possible rather than solving problems manually. You will help manage device configuration and patching via configuration-as-code, authentication and authenticator policies in Okta, network and gateway enforcement in Cloudflare, and the controls around our enterprise Claude and OpenAI deployments. These systems overlap heavily in practice, and the work is largely about integrating them and automating what would otherwise be manual administration.
You will report to the Corporate Security lead and work closely with IT, Security Engineering, and AI DevX.

What you'll do

• Maintain update policies for both OS and software, and monitor the fleet so that newly introduced applications are brought into the patching cadence
• Build automation for endpoint security agent remediation across EDR, DLP, VPN, and similar tooling — detecting missing, stale, or unhealthy agents and bringing devices back into compliance
• Maintain device configuration baselines as code, including drift detection and hardening standards
• Configure authentication and authenticator policies in Okta: SSO, MFA and authenticator enrollment, device trust, and conditional access
• Remediate identity posture gaps surfaced by ISPM tooling: stale accounts, orphaned service principals, over-scoped OAuth grants, MFA gaps, and excess privileges
• Implement and operate controls for enterprise AI usage, including identity-aware access, logging and retention, DLP where appropriate, and enforcement
• Automate across these platforms using their APIs, build reporting on control coverage, and document how the controls you build are operated

What you need

• 3–5 years of experience in Client Platform Engineer/Endpoint Engineering, Identity Access & Management, or Corporate Security
• Hands-on macOS management at scale: MDM (Jamf, Fleet, Kandji, or equivalent) and macOS update mechanisms
• Working knowledge of an identity provider (Okta or similar): SSO, authentication and authenticator policies, SCIM provisioning, and conditional access
• Scripting ability in Python, Go, or Bash, and experience automating against platform APIs
• Experience with EDR and endpoint vulnerability management (CrowdStrike or similar)
• Ability to evaluate tradeoffs between technical enforcement, policy, and user friction, and to explain those tradeoffs clearly

Nice to have

• osquery and Fleet, or other query-based fleet visibility tooling
• Identity posture management (ISPM) tooling, or access review and governance platforms
• Cloudflare Zero Trust, or other proxy, DNS, or network-layer enforcement, including TLS inspection
• Exposure to AI and LLM security concerns: agent authorization, tool calls, model gateways, data leakage through AI tooling
• Infrastructure-as-code and CI/CD experience (Terraform, GitHub Actions)
• Windows fleet management alongside macOS
• Compliance frameworks (SOC 2, PCI) as they apply to endpoints and access

Benefits available to all full-time Ramp employees (Global)

• Flexible PTO
• Centralized home-office equipment ordering
• Health and wellness stipend
• Budget for intra-office travel
• Weekly coffee stipend

United States

• 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
• One Medical annual membership
• 401(k), including employer match on contributions made while employed by Ramp
• Fertility HRA (up to $10,000 per year)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
• Pet insurance
• In-office perks: lunch, snacks, drinks, and more
• Relocation expense coverage to NYC or SF (if needed)

Canada

• Group medical, dental, and vision coverage through Sun Life
• Life, AD&D, and disability coverage
• Fertility drug coverage (up to $4,000 lifetime)
• Group Retirement Plan with employer match (RRSP + DPSP)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
• Employee Assistance Program and virtual care through Lumino Health

United Kingdom

• Private medical insurance through Freedom Elite
• Virtual GP and at-home care via eMed x Livi
• Workplace pension through Penfold, with salary sacrifice option
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.

Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.

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