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Metropolis

Checkout-free parking payments via computer vision

Senior Staff Software Engineer - Recognition Platform

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSeattle, WA, USA

About the Job

Requirements

  • 12+ years of experience building and operating distributed, data-intensive production systems, including deep experience as a multi-service platform technical owner.
  • A proven track record of cross-functional technical leadership and aligning independent engineering teams on shared architecture.
  • Expert proficiency in a JVM language such as Java or Scala, alongside fluency in event-driven and service-oriented design using gRPC/protobuf, streaming, and relational data modeling.
  • Hands-on experience designing high-throughput ingestion pipelines with deep understanding of delivery semantics, idempotency, ordering, backpressure, and tail latency.
  • Experience building rules, eligibility, or decisioning systems where deterministic logic coexists with probabilistic or model-driven signals.
  • Strong systems judgment integrating third-party APIs, SDKs, and vendor constraints.
  • Excellent written technical communication skills with a track record of writing decisive RFCs.
  • Comfort navigating physical-world deployment constraints, hardware conditions, and operational messiness beyond staging environments.
  • Deep understanding of observability, automated testing, progressive delivery, and fluency with AI-assisted engineering tools like Claude Code and GitHub Copilot in daily workflows.

Responsibilities

  • Lead end-to-end architecture across edge ingestion, identity resolution, decisioning, notification, and operator surfaces while driving spec-driven development through RFCs and managing roadmap sequencing.
  • Drive cross-functional alignment and resolve ownership ambiguities across application, computer vision and machine learning, data, security, and platform engineering teams as well as external partner integrations.
  • Evolve high-volume edge-to-cloud streaming pipelines on a horizontally scalable backbone, engineering for 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, frequency capping, and next-best-action logic.
  • Balance deterministic logic with probabilistic signals by establishing explicit thresholds, quantitative cost reasoning for recognition errors, and replay harnesses for model testing.
  • Architect privacy, identity, and consent models designed for biometric-regulated environments with bounded-time opt-out propagation in close collaboration with Legal and Security.
  • Own production quality by defining service-level objectives, actionable alerting, runbooks, soak testing, and progressive rollout via feature flags.
  • Elevate technical standards through design reviews, code reviews, mentorship, and AI-native engineering workflows.

Desired Qualifications

  • Experience with computer vision, biometric matching, or sensor-fusion systems, specifically reasoning about confidence, thresholds, and drift.
  • Background operating in privacy- or biometric-regulated domains such as BIPA, CCPA, or GDPR, or working with consent-management systems.
  • Experience with IoT, edge computing, fleet-scale device telemetry, or MQTT-class transports.
  • Expertise in identity resolution or customer data platforms, stitching multi-system signals into durable profiles.
  • Experience with hospitality, retail, or physical-operations software, including hospitality CRM and PMS integrations.
  • Prior experience in a Uber-tech-lead, TL-of-TLs, or principal-adjacent scope.

About the Company

Metropolis

Checkout-free parking payments via computer vision

Metropolis is a technology-driven facility-management company that focuses on parking solutions using computer vision to enable checkout-free payments. Its system detects vehicles and parking events via cameras and sensors, allowing drivers to pay automatically without stopping at a gate. The platform integrates into real estate operations, Class A office buildings, multi-garage complexes, and valet services to improve asset productivity and streamline operations. Compared with others, Metropolis supports a wide customer base across North America, operates in over 360 cities, processes more than $4 billion in payments annually, and has grown through significant funding rounds and the acquisition of SP Plus Corporation. Its goal is to expand its platform’s capabilities and market reach, helping property owners and managers increase efficiency and revenue by embedding its payment and facility-management tools directly into daily operations.

Company size
1,001-5,000
Company stage
Series D
Total funding
$3.5B
Headquarters
Santa Monica, CA
Founded
2017

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