Software Engineer – IoT Device Health

About the Role

Be the primary owner for the health, reliability, and observability of hundreds of distributed Linux-based IoT devices deployed nationally. You will architect and build robust backend systems, monitoring pipelines, and internal tools designed to maximize device performance—from remote troubleshooting to on-site diagnostics. This full-stack role bridges embedded and cloud engineering while working closely with operations and hardware teams to deliver scalable, measurable impact.

Key Responsibilities

• Design and implement scalable systems to monitor, diagnose, and improve IoT device health
• Build internal tooling for device setup, fleet QA, and continuous observability
• Develop backend services for device calibration, integration, and real-time reliability
• Investigate and resolve fleet-wide issues using metrics, logs, and remote debugging
• Tune hardware on-site for optimal camera exposure, connectivity, and detection
• Conduct fleet-wide health assessments, recommending firmware and process improvements
• Generate reports on uptime, device performance, and systemic issues for leadership
• Collaborate cross-functionally to advance architecture, tooling, and operational efficiency
• Document playbooks, repair guides, and standard troubleshooting procedures
• Travel periodically (up to 20%) for deployments, QA, and troubleshooting

Qualifications

• 5+ years professional software engineering experience with hands-on management of distributed Linux-based hardware or IoT fleets
• Proficient in Python and SQL, with a strong record of shipping production-quality code
• Experience with monitoring and observability platforms like DataDog, Prometheus, OpenTelemetry, or Grafana
• Familiarity with messaging protocols such as NATS Jetstream or MQTT
• Expertise in Linux system debugging (dmesg, journalctl, systemd, ip, etc.)
• Background in wireless connectivity technologies like 4G LTE, 5G, and WiFi
• Experience building internal tooling, monitoring, or reliability platforms
• Excellent written and verbal communication skills for technical reporting and documentation
• Willingness to travel up to 20% for field deployments and troubleshooting; remote the rest of the time
• Bonus: experience with C++ and knowledge of distributed cloud backend architectures