Drimva

Uber

Sr Manager, Security Engineering - Engineer

$267K–$297K

Seattle, Washington · Manager · Full-time · Posted Oct 9, 2026

Experience
5+ years of full-time software engineering or security engineering experience before Engineering Management; 5+ years of full-time Engineering Management experience.
Education
Bachelor’s Degree or equivalent in Computer Science, Engineering, Information Security, or a related technical field.

About the job

Leads Uber’s Detection Engineering organization, setting strategy and delivering scalable security detections and platforms across corporate, production, and cloud environments.

What you'll do

  • Own detection strategy, threat coverage, detection content, and the platforms and pipelines that process security telemetry.
  • Improve detection speed and signal quality, partner with incident response, and lead responsible deployment of AI/ML for detection and triage.
  • Manage and grow engineering teams; guide cross-functional and vendor partnerships and build-versus-buy decisions.

What they ask for

  • Bachelor’s Degree or equivalent in Computer Science, Engineering, Information Security, or a related technical field.
  • 5+ years of full-time software engineering or security engineering experience prior to Engineering Management experience.
  • 5+ years of full-time Engineering Management experience, including leading senior/staff engineers and growing other leaders.
  • Demonstrable expertise owning complex detection and response programs, plus a track record of multi-team technical strategy and measurable outcomes.

Nice to have

  • Master’s Degree or PhD in a related field.
  • Hands-on detection engineering and experience operating detection platforms at scale, working with public cloud security, or incorporating AI/ML and LLM techniques into production security systems.

Pay

USD $267,000 per year - USD $297,000 per year (base salary)

Tools

MITRE ATT&CK, SIEM, Elastic, Splunk, Kafka, Flink, CrowdStrike, GCP

AI focus

Leads responsible adoption of ML and LLM-based techniques for detection, triage, correlation, and case enrichment, taking them from research to production with fairness, safety, auditability, and compliance.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)