Senior Staff Engineer, Edge-to-Cloud Recognition Platform

metropolis; Los Angeles (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Metropolis is seeking a Senior Staff Software Engineer, Recognition Platform to serve as the technical owner of the Metropolis Recognition Platform (MRP).

You are the engineer other engineers route their hardest architectural questions to, holding the entire platform architecture in your head and navigating cross-functional boundaries across application engineering, computer vision, data, security, and platform teams as well as external partners.

Qualifications

• 12+ years of experience building distributed production systems.
• Proven cross-functional technical leadership and architecture alignment.
• Expert proficiency in JVM languages (Java/Scala) and event-driven design.
• Experience with rules/decisioning systems and model-driven signals.

Responsibilities

• Lead end-to-end architecture across edge ingestion, identity resolution, decisioning, notification, and operator surfaces, driving RFCs and roadmap sequencing.
• Drive cross-functional alignment and resolve ownership ambiguities across application, CV/ML, data, security, and platform teams as well as external partners.
• Evolve high-volume edge-to-cloud streaming pipelines with tail latency, intermittent connectivity, backpressure, and out-of-order events.
• Design rules and decisioning layers for real-time actions including watchlist alerting, arrival routing, eligibility, consent gating, and next-best-action logic.
• Balance deterministic logic with probabilistic signals by establishing explicit thresholds and cost reasoning for recognition errors.

Job description

Metropolis is seeking a Senior Staff Software Engineer, Recognition Platform to serve as the technical owner of the Metropolis Recognition Platform (MRP).

You are the engineer other engineers route their hardest architectural questions to, holding the entire platform architecture in your head and navigating cross-functional boundaries across application engineering, computer vision, data, security, and platform teams as well as external partners.