Software Engineer

Who you are

• 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
• Experience with IoT/sensor data or geospatial systems (geofencing, location) is a plus
• Ownership and Problem Solving mindset
• Hybrid in the office two days a week

What the job involves

• As a Staff 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
• 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