Teams at H2O.ai

Develop, deploy, and maintain scalable microservices and real-time data applications using Kubernetes, Java, Go, Python, Protobuf, gRPC, REST APIs, Kafka and Helm. Optimize large datasets, debug and test software, and collaborate with senior engineers in a fast-paced environment.

The AI Engineer will develop and deploy AI applications, collaborate on the end-to-end pipeline, create backend services, and develop frontend interfaces.

Design, deploy, and optimize secure, scalable cloud environments on AWS and Kubernetes; automate infrastructure with IaC; build CI/CD pipelines; implement observability; troubleshoot containers and distributed systems; and work directly with enterprise customers to deliver and support production-grade deployments.