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Detection Engineer, Protective Services

1 day, 7 hours ago
United States
Full-time
Mid Level
Security Engineer
Software Development
Go Machine Learning Python Snowflake SQL
Apply Now
DoorDash

DoorDash

DoorDash empowers small business owners by providing an affordable and convenient platform for local delivery services, primarily focusing on restaurant food delivery.

Air Freight & Logistics
10K-50K
Founded 2012
View All Jobs 31

Description

  • Translate threat intelligence, incidents, and investigative needs into production detections that reduce noise and provide actionable context.
  • Build, test, deploy, tune, and maintain detections and supporting data pipelines using source-controlled engineering practices.
  • Correlate enterprise, marketplace, physical security, OSINT, support, identity, endpoint, and cloud signals to identify potential threats.
  • Apply rules, statistical methods, machine learning, and LLM-based techniques to improve detection quality and investigative context.
  • Investigate detections by querying data, validating hypotheses, and assessing confidence, scope, and potential impact.
  • Use investigation outcomes, false positives, missed indicators, and workflow friction to improve detection logic and tooling.
  • Contribute to technical reviews, testing, documentation, standards, and automation.
  • Participate in on-call rotations and support major investigations while communicating signal confidence and limitations.

Requirements

  • 3+ years of experience in detection engineering, threat hunting, incident response, security operations engineering, technical threat intelligence, or security-focused software engineering.
  • Experience contributing to production detection pipelines with source control, testing, review, deployment, and monitoring practices.
  • Proficiency in SQL or a security query language.
  • Ability to write maintainable code in Python, Go, or another relevant language.
  • Strong analytical skills, including data exploration, quality assessment, troubleshooting, and development of testable detection hypotheses.
  • Experience triaging alerts, conducting investigations, correlating data sources, and assessing evidence, confidence, and scope.
  • Experience with security, behavioral, or other relevant telemetry; identity, endpoint, cloud, marketplace, physical security, OSINT, or unstructured-data experience is preferred.
  • Experience using automation or analytics to improve detection and investigation workflows; machine learning or LLM experience is preferred.
  • Familiarity with MITRE ATT&CK or D3FEND.
  • Strong communication and collaboration skills, including the ability to handle sensitive information.
  • Bachelor’s degree or equivalent practical experience.
  • Experience with Snowflake, Cortex, or Google SecOps is preferred.

Benefits

  • U.S. base salary range of $130,600–$192,000, plus potential equity grants.
  • 401(k) plan with employer matching.
  • Medical, dental, and vision insurance, disability coverage, and basic life insurance.
  • 16 weeks of paid parental leave and family-forming assistance.
  • Flexible paid time off, paid sick leave, and 11 paid holidays.
  • Wellness benefits, commuter benefits match, and mental health programs.

Interested in this position?

Apply directly on the company website

Apply Now

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