Remote Enterprise Security Engineer – AI-Driven Resilience

CV in; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

DoorDash is seeking an Enterprise Security Engineer to own security operations and automation across a globally distributed environment, including AI-assisted workflows. You will collaborate with IT, Legal, Privacy, and Engineering to safeguard people, devices, and data while enabling fast feature delivery.

The role emphasizes reducing friction while increasing resilience, with a focus on zero-trust, data protection, and scalable security controls across AWS and GCP.

Qualifications

• Bachelor's degree or equivalent practical experience in a relevant field.
• 2–5 years in security engineering or IT security roles with a proven track record.
• Hands-on administration of identity platforms (Okta) and modern auth protocols.
• Experience operating EDR/XDR and cloud security on AWS or GCP.
• Ability to write production-grade automation (Python/Go).
• Strong written communication and cross-functional collaboration.

Responsibilities

• Execute security workflows across enterprise identity and endpoint landscape.
• Configure and maintain an enterprise security stack (EDR, zero-trust, DLP).
• Develop automation scripts to streamline security tasks and incidents.
• Apply AI-assisted coding to validate tooling outputs before production.
• Monitor SaaS environments to control shadow IT and OAuth sprawl.
• Perform high-risk reviews and coordinate with IT, Legal, Privacy, and Eng.
• Support audits (ISO 27001, SOC 2) with technical evidence and insights.
• Lead security deployments with infrastructure-as-code and cloud controls.

Skills

Automation in Python/Go

Identity/platform administration

Cloud security

Security tooling & IAM

Written communication

Education

Bachelor’s degree in CS/Cybersecurity/IT

Tools

Okta

EDR/XDR platforms

Terraform

AWS

GCP

Job description

DoorDash is seeking an Enterprise Security Engineer to own security operations and automation across a globally distributed environment, including AI-assisted workflows. You will collaborate with IT, Legal, Privacy, and Engineering to safeguard people, devices, and data while enabling fast feature delivery.

The role emphasizes reducing friction while increasing resilience, with a focus on zero-trust, data protection, and scalable security controls across AWS and GCP.