Senior Software Engineer - Backend

Motive•Seattle, WA

4d•$140,000 - $193,000•Hybrid

About The Position

As a Senior Software Engineer on the Equipment Monitoring team, you will build the backend systems that give fleets unmatched visibility into the location, utilization, and health of their equipment - trailers, reefers, construction machinery, and small assets. Our data comes from IoT devices in the field: Asset Gateways, BLE environmental and door sensors, and Beacons. You will design and operate the ingestion and stream-processing pipelines (Kafka, Flink) that turn this raw sensor telemetry into accurate real-time locations, geofence events, trips, and alerts. You will collaborate closely with our Embedded/firmware and IoT teams on device payloads and end-to-end data flows, making this a great role for engineers who enjoy working near the hardware while building cloud services at scale.

Requirements

B.S. or M.S. in Computer Science or related field
5+ years software development experience
Experience building distributed systems and event-driven/stream-processing pipelines (Kafka, Flink, Kinesis or similar)
Experience in modern programming languages. Proficiency in Ruby, Golang, Kotlin/Java is a plus.
Experience with Relational and NoSQL databases such as PostgreSQL, DynamoDB, Redis, and Cassandra
Experience building for Cloud Infrastructure such as AWS, GCP, Azure or private clouds
Ownership and Problem Solving mindset

Nice To Haves

Experience with IoT/sensor data or geospatial systems (geofencing, location) is a plus

Responsibilities

Develop highly observable, reliable, and scalable backend services that process telemetry from hundreds of thousands of IoT devices (sensors, beacons, asset gateways).
Build and operate stream-processing pipelines (Kafka, Flink) powering geo-fencing, alerting, trip construction, and asset location.
Design, build, and maintain scalable APIs for both internal and external applications.
Collaborate with Embedded, IoT, and cross-functional teams on device data contracts and end-to-end feature delivery.
Champion engineering excellence by proactively reducing technical debt and improving code quality.
Leverage AI tools such as Cursor, CoPilot to increase productivity and code quality.
Actively work on our AWS Cloud infrastructure, and mentor and learn from other engineers to foster a culture of continuous growth.