We are looking for an Engineering Lead in IoT Systems Integration to build and maintain the data pipeline powering our IoT platform. You will own sensor integration, data ingestion, quality assurance, and deployment automation.
This is a hands-on role where you will own technical direction, influence the team, and remain deeply involved in architecture and implementation.
What you will do:
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.
Own end-to-end QA across firmware, tag provisioning, mobile apps, web applications, and cloud services.
Write and maintainunit, 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.
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 ontechnical direction.
Lead pilot programs and technical validation with partners and customers.
Build the team through hiring and help define technical standards.
Systems Integration
Quality and Automation
Leadership and Collaboration
What we are looking for:
5+ years in systems integration, deployment engineering, or IoT platform development.
Ability to lead technical teams while remaininghands-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 expertisebuilding 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-testingskills (unit, integration, end-to-end).
Experience with Git, CI/CD, code review, and production deployment.
Clear communicatoracross hardware, firmware, app, and cloud teams.
Experience withLinux.
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 recordlaunching products from alpha through production pilots.
Experience in aerospace, satellite, industrial IoT, or mission-critical environments.
Background in security-focused systems and operational compliance.
Required
Nice to Have
Additional Requirements
This is a fast-paced, high-impact environment - flexibility to occasionally work extended hours or weekends during critical periods is expected.

