AWS Engineer Intern

Ann Arbor, MI

Paid

Hybrid

About H2OS

H2OS is building an edge AI water intelligence platform for aquaculture. We combine industrial sensing, on-device prediction, cloud software, and operator tools to help farms detect water risk earlier and respond faster.

We are looking for an AWS Engineer to help build and maintain the cloud backbone of our system. This role will work closely with our AI, hardware, and product teams to connect field devices, data pipelines, dashboards, and backend services into one reliable platform.

What You'll Do

  • Build and maintain H2OS cloud infrastructure on AWS

  • Design backend services for device connectivity, data ingestion, storage, and analytics

  • Support integration between edge devices and AWS services

  • Develop APIs for dashboards, mobile apps, and internal tools

  • Manage databases, cloud storage, authentication, and monitoring systems

  • Improve system reliability, security, and scalability

  • Support OTA workflows, device management, and alert pipelines

  • Work with AI and product teams to deploy data and model services into production

What We're Looking For

  • Experience with AWS services such as Lambda, API Gateway, S3, EC2, RDS, DynamoDB, CloudWatch,Cognito, or IoT Core

  • Strong backend engineering skills in Python, Node.js, or similar languages

  • Experience building APIs and cloud-native systems

  • Familiarity with database design, logging, monitoring, and security best practices

  • Comfortable working in a startup environment with fast iteration

  • Strong problem-solving skills and clear communication

Nice to Have

  • Experience with IoT platforms or connected devices

  • Experience with time-series data pipelines

  • Familiarity with Docker, serverless deployment, or CI/CD workflows

  • Experience in agtech, climate tech, aquaculture, or industrial monitoring

Why Join H2OS

  • Work on a real-world edge AI system with field deployments

  • Help shape the cloud architecture of an early-stage company

  • Collaborate with a cross-functional team across hardware, AI, and product

  • Contribute to a mission-driven company improving aquaculture operations

Application

h2oswater

+1-734-496-3337

24 Frank Lloyd Wright Dr. Suite L-4000 Ann Arbor, MI 48105

Edge-native AI for a healthier aquatic ecosystem

© 2026 H2OS, Inc. All rights reserved.

h2oswater

+1-734-496-3337

24 Frank Lloyd Wright Dr. Suite L-4000 Ann Arbor, MI 48105

Edge-native AI for a healthier aquatic ecosystem

© 2026 H2OS, Inc. All rights reserved.

h2oswater

+1-734-496-3337

24 Frank Lloyd Wright Dr. Suite L-4000 Ann Arbor, MI 48105

Edge-native AI for a healthier aquatic ecosystem

© 2026 H2OS, Inc. All rights reserved.