Staff Software Engineer - IoT Data & Streaming

ProducePay; California (MO); Hybrid; USD 116,000 - 193,000; Full time

Benefits offered by this job

Health benefits

Dental benefits

Hybrid work model

401k

Job summary

Motive is seeking a Staff Software Engineer for the Equipment Monitoring team to build backend systems that provide real-time visibility into the location, utilization, and health of assets. You’ll design ingestion pipelines from IoT devices, collaborate with Embedded/IoT teams, and develop scalable cloud services.

You will work on highly observable backend services, stream-processing pipelines, and APIs while mentoring others and improving code quality in a hybrid office setting.

Qualifications

• Requires 5+ years of software development experience.
• Experience with Kafka, Flink or similar stream processing.
• Experience with cloud platforms (AWS, GCP, Azure) and databases.

Responsibilities

• Develop highly observable, reliable, and scalable backend services for IoT telemetry.
• Build and operate stream-processing pipelines powering geofencing, alerts, and location.
• Design, build, and maintain scalable APIs for internal and external apps.
• Collaborate with Embedded, IoT, and cross-functional teams on data contracts.
• Champion engineering excellence by reducing technical debt and improving code quality.
• Leverage AI tools to increase productivity and code quality.
• Mentor and learn from other engineers and work on AWS infrastructure.

Skills

Distributed systems

Event-driven pipelines

Golang

Ruby

Java/Kotlin

Education

B.S./M.S. in Computer Science

Tools

Kafka

Flink

Kinesis

AWS

Job description

Motive is seeking a Staff Software Engineer for the Equipment Monitoring team to build backend systems that provide real-time visibility into the location, utilization, and health of assets. You’ll design ingestion pipelines from IoT devices, collaborate with Embedded/IoT teams, and develop scalable cloud services.

You will work on highly observable backend services, stream-processing pipelines, and APIs while mentoring others and improving code quality in a hybrid office setting.