
As a Sr. Cloud IoT Engineer with Intuitive, you will be responsible for the data acquisition from devices and sensors that allows the device to connect seamlessly with other systems. You will be researching, creating, testing, and documenting IoT solutions with integrated systems and devices to help the analytics and data science initiatives across our enterprise customers.
You will be working closely with SMEs in Data Engineering and Cloud Engineering, to create solutions and extend Intuitive's DataOps Engineering Projects and Initiatives. The Sr. Cloud IoT Engineer will be a central critical role for establishing the DataOps/DataX data logistics and management for building data pipelines, enforcing best practices, ownership for building complex and performant Data Lake Environments, work closely with Cloud Infrastructure Architects and DevSecOps automation teams. The Sr. Cloud IoT Engineer is the main point of contact for all things related to ingestion of telemetry data and saturation into time series or other databases. In this role, we expect our DataOps leaders to be obsessed with telemetry data and providing insights to help our end customers.
KEY REQUIREMENTS:
- 10+ years’ experience as data engineer.
- Must have 5+ Years in implementing IoT engineering solutions with multiple cloud providers and toolsets.
- This is hands on role building data pipelines using Cloud Native and Partner Solutions. Hands-on technical experience with Data at Scale.
- Must have deep understanding of solutions like AWS IoT Greengrass edge runtime and cloud services to build, deploy, and manage device software across the fleet of devices.
- Hands on experience with AWS IoT stack like Core, SiteWise, Kinesis, Lamda, Timestream
- Performance Tuning of streaming telemetry data based with tools like Grafana, Amazon Cloudwatch and QuickSight informed by business requirements.
- Good working experience on Web Service Integration, RESTful APIs, WebSockets and MQTT.
- Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration

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