At Qu you’ll find a fun, dynamic, and diverse culture that celebrates team and individual success. Our people are down to earth, creative thinkers who value innovation. While mostly virtual, we collaborate closely to produce leading-edge software solutions much needed in the restaurant industry.

At Qu you will:

• Lead the design, development, and optimization of cloud infrastructure to support IoT applications, with a focus on AWS IoT Core and managing time series data.
• Architect and spearhead the implementation of enhancements to the data ingest pipeline, ensuring efficient processing and integration of telemetry and time series data.
• Work closely with the hardware team to ensure successful integration of devices with cloud infrastructure using AWS IoT Core, including LoRaWAN, MQTT, device shadowing, and rules engine.
• Monitor performance, troubleshoot issues, and optimize backend systems to ensure reliability and scalability.
• Write and maintain infrastructure as code (IaC) using tools like Terraform.
• Work closely with the engineering team to ensure smooth device-to-cloud communication, data storage, and processing, while ensuring cloud infrastructure aligns with business and technical needs.
• Perform security reviews and audits, ensuring compliance with best practices for cloud security, identity management, and data encryption.

What we're looking for:

• 5+ years of experience in cloud engineering, with a strong focus on AWS services.
• Proven experience designing and managing scalable cloud infrastructures, especially in environments handling IoT data, telemetry, and time series data.
• Strong expertise in AWS IoT Core, Timestream/InfluxDB, and related services (Lambda, Kinesis, API Gateway, S3, DynamoDB, CloudWatch, etc.).
• Proficiency with IaC tools such as Terraform and AWS CloudFormation.
• Hands-on experience with CI/CD pipelines, automating deployments using GitHub Actions, Jenkins, or other similar tools.
• Strong understanding of security best practices, including IAM, VPC, and encryption.
• Experience with containerization and orchestration (Docker, Kubernetes, or AWS ECS).
• Excellent problem-solving skills and the ability to optimize cloud performance, troubleshoot issues, and ensure reliable operations.
• Ability to collaborate with cross-functional teams and communicate complex cloud architectures in a clear and concise manner.
• Experience with LoRaWAN or other IoT communication protocols, preferred.
• Experience with AWS Greengrass, FreeRTOS, or other edge computing frameworks, preferred.
• Understanding of over-the-air (OTA) firmware updates and device management, preferred.