Detection Engineer

Hawthorne, California, USA

Full Time
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Posted 2 weeks ago

Ring is seeking a qualified Detection Engineer to drive processes, analytics, and automation that maintain our infrastructure. You will build automated analytics, curate threat intelligence, as well as investigate, respond to, and escalate potential issues through anomaly detection with cross-functional service teams.

Responsibilities:
· Enhance and continuously improve SIEM tools and capabilities through automation and advanced query logic.
· Evaluate or create new technologies and services in order to solve complex security issues.
· Work cross-functionally with service teams to develop cohesive methods of anomaly detection.
· Provide back-up support to the Incident Response team when necessary to provide rapid, real time, and ad-hoc support.

Basic Qualifications


· 3+ years of experience writing python code.
· 3+ years of experience leveraging advanced Splunk or similar data platforms for analysis and detection of events or issues.
· 3+ years of experience developing forensics, analytics, insights, or similar solutions leveraging both code and data skillsets.

Preferred Qualifications

· Bachelor’s degree in Computer Science or related field.
· Strong interpersonal and communication skills.
· Thrives in a fast-paced environment.
· History of leveraging machine learning models for anomaly detection.


About Ring
Since its founding in 2013, Ring has been on a mission to make neighborhoods safer. From the video doorbell, to Ring Alarm, which was named #1 in Customer Satisfaction for DIY Home Security Systems by J.D. Power, Ring’s smart home security product line, as well as the Neighbors App, offer users affordable whole-home and neighborhood security. At Ring, we are committed to making home and neighborhood security accessible and effective for everyone -- while working hard to bring communities together. Ring is an Amazon company. For more information, visit www.ring.com. With Ring, you’re always home.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us//.


Job tags: Analytics Automation Forensics Incident response Machine Learning Python SIEM Splunk Threat intelligence
Job region(s): North America
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