Senior Detection Engineer, Federal

Ramp•New York, NY

1d•Hybrid

About The Position

Join our growing security team and help drive security detection and response initiatives across Ramp. This will include a focus on maturing our security detection and alerting capabilities across our federal and public sector environments. Please note that this role will require you to be comfortable with working in-person at our NYC HQ (located near Madison Square Park) at least 2 days/week

Requirements

3-4 years of information technology experience or the equivalent combination of education, technical training, or work experience.
Working experience in information security, especially on a Computer/Security Incident Response Team (C/SIRT), Computer Emergency Response Team (CERT), Computer Security Incident Response Center (CSIRC) or a Security Operations Center (SOC)
Experience with query-based log management solutions (ELK, Datadog, Panther, etc)
Strong deductive reasoning and critical thinking skills
Ability to communicate complex security issues to peers and management in a clear and effective manner.
Strong written communication skills and the ability to succinctly document technical details

Nice To Haves

Prior experience working with government entities or in a highly regulated environment
Security Certifications such as CompTIA Security+, Network+, etc.
Experience with workflow automation tooling (Tines, Swimlane, etc.)

Responsibilities

Respond and assist with security requests and incidents submitted by Ramp team members
Review logging, alerting, and audit sources to identify potential security incidents and perform initial triage on identified incidents
Contribute to the creation, upkeep, and tuning of runbooks and security alerts to effectively handle, triage, and improve security alerts
Work closely with the Ramp Security Engineers to improve security alerting and automated remediation
Utilize log ingestion platform for security analytics and identification of tactics, techniques and patterns of attackers
Design and implement automation to detect and respond to threats