Senior Staff Software Engineer, Recognition Platform
Metropolis TechnologiesLos Angeles, CA · full time · Senior
$232,000 – $268,000
Listed on Metropolis Technologies’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Metropolis Technologies updated this posting after we read it, so our summary may be out of date. Check their posting for the latest.
This role owns the technical architecture of Metropolis's recognition platform, directing the evolution of high-volume edge-to-cloud pipelines that process sensor data into real-time decisions across parking, retail, and hospitality. You'll lead without direct reports, aligning distributed teams on shared architecture and raising technical standards while handling the unique constraints of physical-world deployment and biometric systems.
Our summary, not Metropolis Technologies’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Datadog
- Git
- GitHub
- GitHub Copilot
- gRPC
- Java
- MySQL
- PostgreSQL
- React
- Scala
- Snowflake
- TypeScript
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What they ask for
Required
- 12+ years building and operating distributed, data-intensive production systems
- Deep experience as a multi-service platform technical owner
- Cross-functional technical leadership and alignment of independent engineering teams
- Expert proficiency in JVM languages (Java or Scala)
- 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 understanding of delivery semantics, idempotency, ordering, backpressure, and tail latency
- Experience building rules, eligibility, or decisioning systems with deterministic and probabilistic signals
- Strong systems judgment integrating third-party APIs, SDKs, and vendor constraints
- Excellent written technical communication and RFC writing
- Comfortable with physical-world deployment constraints and operational messiness
- Deep understanding of observability, automated testing, and progressive delivery
Nice to have
- Experience with computer vision, biometric matching, or sensor-fusion systems
- Background in privacy- or biometric-regulated domains (BIPA, CCPA, GDPR) or consent-management systems
- Experience with IoT, edge computing, fleet-scale device telemetry, or MQTT-class transports
- Expertise in identity resolution or customer data platforms
- Experience with hospitality, retail, or physical-operations software
- Prior experience in principal-adjacent or tech-lead-of-tech-leads scope