Metropolis
Senior Staff Software Engineer, Recognition Platform
$232K–$268K
Los Angeles, California, United States +2 · Senior Staff · Full-time · Posted Aug 26, 2026
- Location
- Los Angeles, California, United States
New York, New York, United States
Seattle, Washington, United States - Experience
- 12+ years building and operating distributed, data-intensive production systems, including deep experience as a multi-service platform technical owner.
About the job
Own the architecture and technical direction of Metropolis’s Recognition Platform, building edge-to-cloud pipelines and real-time decisioning that turn sensor signals into actions.
What you'll do
- Lead end-to-end platform architecture, RFCs, and roadmap sequencing across ingestion, identity resolution, decisioning, notifications, and operator surfaces.
- Drive cross-team and partner alignment while evolving scalable streaming pipelines and real-time rules and decisioning systems.
- Own production quality, privacy and consent models, operational practices, and technical standards, including mentorship and AI-native workflows.
What they ask for
- Proven cross-functional technical leadership aligning engineering teams on shared architecture.
- Expert proficiency in a JVM language such as Java or Scala; fluency in event-driven and service-oriented design, gRPC/protobuf, streaming, and relational data modeling.
- Hands-on experience with high-throughput ingestion, including delivery semantics, idempotency, ordering, backpressure, and tail latency.
- Experience building decisioning systems combining deterministic logic with probabilistic or model-driven signals; strong systems judgment and production operations expertise.
Nice to have
- Experience with computer vision, biometric matching, sensor fusion, privacy-regulated domains, or consent management.
- Experience with IoT or edge computing, identity resolution, or hospitality, retail, or physical-operations software.
Pay
$232,000 - $268,000 USD annually (base salary)
Tools
TypeScript, React, Scala, Java, MySQL, PostgreSQL, Snowflake, AWS
AI focus
Builds AI-native engineering workflows and uses AI-assisted engineering tools such as Claude Code and GitHub Copilot; the platform also balances probabilistic or model-driven signals with deterministic decisioning.
Model-written summary · the original posting is authoritative