IoT Systems Integration Engineering Lead

Systems Integration

• Design and deploy multi-protocol IoT integrations (Zigbee, Z-Wave, Matter, Bluetooth, Wi-Fi, LoRaWAN) from native sensors to cloud platforms.

• Build data-ingestion services for telemetry, events, status updates, and firmware metadata.

• Develop integration frameworks and APIs that bridge sensor networks, edge gateways, and cloud data platforms.

• Design schemas, data models, and transformation logic for sensor data pipelines.

• Manage cloud infrastructure and edge systems using infrastructure-as-code and deployment tooling.

Quality and Automation

• Own end-to-end QA across firmware, tag provisioning, mobile apps, web applications, and cloud services.

• Write and maintain unit, integration, and end-to-end tests.

• Build automated testing frameworks for validating sensor integrations and data accuracy.

• Implement CI/CD pipelines and deployment automation.

• Investigate and resolve production issues across integrations, data pipelines, and cloud infrastructure.

• Improve system reliability through retries, idempotency, monitoring, and error handling.

Leadership and Collaboration

• Lead by influence across the engineering stack. Set clear goals, priorities, and quality standards.

• Mentor engineers through design reviews and direct feedback on architecture and QA.

• Initiate and lead technical design discussions and communicate tradeoffs clearly.

• Collaborate with hardware, firmware, product, and cloud teams to align on technical direction.

• Lead pilot programs and technical validation with partners and customers.

• Build the team through hiring and help define technical standards.

Required

• 5+ years in systems integration, deployment engineering, or IoT platform development.

• Ability to lead technical teams while remaining hands-on.

• Deep experience with multi-protocol IoT ecosystems (at least 3 of: Zigbee, Z-Wave, Matter, Bluetooth, Wi-Fi, LoRaWAN, Cellular).

• Strong background in data pipeline design, data lakes, and ETL processes.

• Strong Python and hands-on experience with data integration frameworks.

• Proven expertise building end-to-end QA frameworks across firmware, mobile, web, and cloud.

• Experience with AWS or comparable cloud platforms for IoT data ingestion and storage.

• Strong automated-testing skills (unit, integration, end-to-end).

• Experience with Git, CI/CD, code review, and production deployment.

• Clear communicator across hardware, firmware, app, and cloud teams.

• Experience with Linux.

Nice to Have

• Experience building cloud-connected IoT or device-management platforms.

• Experience with AWS IoT Core, IoT Jobs, Device Shadows, or fleet provisioning.

• Experience with firmware OTA updates and telemetry systems.

• Experience with time-series databases (InfluxDB, TimescaleDB) or stream processing.

• Experience with infrastructure-as-code tools (AWS CDK, Terraform).

• Familiarity with embedded systems and wireless communications.

• Track record launching products from alpha through production pilots.

• Experience in aerospace, satellite, industrial IoT, or mission-critical environments.

• Background in security-focused systems and operational compliance.