Software Engineer

h2o.ai•Ottawa, ON

13d•Hybrid

About The Position

H2O.ai is seeking a highly motivated Full Stack & Systems Software Engineer to join our H2OGPTe generative AI project team. This is a hands-on technical role for someone who thrives on solving complex problems, moves fast, and refuses to accept "no" as an answer. You'll be working at the intersection of cutting-edge generative AI and production systems, delivering end-to-end solutions that push the boundaries of what's possible. This is a hybrid position is based in Ottawa, Canada.

Requirements

2+ years of professional software engineering experience.
Strong programming skills in Python, Go, and React (or demonstrated ability to quickly master new technologies).
Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native architectures.
Hands-on experience with CI/CD pipelines and DevOps practices.
Proven ability to deliver features end-to-end, from design through deployment.
Track record of learning quickly and adapting to new technologies and domains.

Nice To Haves

Experience with machine learning systems, frameworks, or infrastructure.
Background in generative AI, LLMs, or related ML technologies.
Familiarity with containerization (Docker, Kubernetes) and microservices architectures.
Experience with scalable distributed systems and data processing pipelines.
Open source contributions or personal projects demonstrating technical initiative.

Responsibilities

Design, develop, and deploy full stack features for the H2OGPTe platform from concept to production.
Build and maintain robust systems software using Python, Go, and React.
Implement and optimize solutions across major cloud platforms (AWS, Azure, GCP).
Own the complete development lifecycle including CI/CD pipelines, testing, deployment, and monitoring.
Collaborate closely with ML researchers and engineers to productionize generative AI innovations.
Debug complex distributed systems issues and deliver creative solutions under pressure.
Contribute to architectural decisions that shape the future of our generative AI platform.
Rapidly prototype new capabilities and iterate based on user feedback.