Sr. Cloud Data Engineer-(IoT) Greenfield

Job Description

Job Description

Senior Cloud Engineer – IoT

We are seeking a Senior Cloud Engineer – IoT to help build and scale a next-generation IoT platform that delivers real-time monitoring, control, analytics, and device connectivity solutions through a combination of hardware, cloud services, and software.

This role will play a foundational part in designing and operating a cloud-native platform that supports large-scale connected device fleets, enabling customers to collect, analyze, and act on telemetry data through both user-facing applications and APIs.

As the Senior Cloud Engineer , you will own the cloud data plane from device ingestion through customer-facing APIs.

Telemetry arrives via MQTT, is normalized through version-controlled device mappings, stored within a semantic time-series architecture, and ultimately delivered through external APIs and platform services.

You will be responsible for designing systems capable of supporting hundreds of thousands of connected devices while ensuring scalability, reliability, security, and cost efficiency.

How We Work

• We prioritize managed and serverless cloud services wherever practical to maximize engineering focus and operational efficiency.
• Industry-standard protocols and frameworks (OpenAPI, OAuth2/OIDC, OpenTelemetry, etc.) are the default approach.
• Automated testing and deployment pipelines are required for all production releases.
• Releases are deployed in controlled waves to minimize customer impact and reduce operational risk.
• Security and compliance considerations are incorporated throughout the software development lifecycle.
• AI-assisted development tools are actively leveraged for coding, testing, documentation, and productivity improvements.
• On-call responsibilities are expected during platform rollout phases and will evolve as the platform matures.

Required Experience

• 7+ years building and operating production cloud systems on AWS.
• Strong experience with IoT platforms, streaming architectures, or large-scale event processing systems.
• Experience supporting MQTT-based device fleets at significant scale or comparable streaming workloads using technologies such as Kafka, Kinesis, or similar platforms.
• Demonstrated expertise evaluating and operating time-series databases and telemetry storage systems.
• Strong technical design and architecture documentation skills.
• Deep experience with Infrastructure as Code (Terraform, AWS CDK, or similar).
• Strong CI/CD implementation and automation experience.
• Ability to work directly with customer engineering organizations and technical stakeholders.

Education

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (or equivalent experience).