Software Engineer

H2O.ai is hiring a full-stack Software Engineer for its Predictive AI engineering team. The role builds and maintains backend services, web interfaces, cloud-native predictive AI services, and CI/CD and release processes, while contributing to the Driverless AI, H2O-3, and Sparkling Water products.

Responsibilities:

• Design, implement and maintain backend services and APIs in Python, Go and Java
• Develop and operate cloud-native services on Kubernetes for deploying and running predictive AI workloads in cloud and on-premise environments
• Build and maintain CI/CD pipelines, multi-architecture builds (x86 and ARM), dependency upgrades and vulnerability remediation, including FedRAMP-compliant builds
• Build and maintain web interfaces using React and TypeScript
• Work with support and field engineering to resolve customer issues, including for federal customers, and drive fixes back into the product
• Translate product requirements into technical specifications and make architectural trade-offs transparent
• Drive engineering excellence through rigorous code reviews, comprehensive testing and clear documentation
• Monitor application performance, troubleshoot issues and optimize systems for reliability and efficiency
• Collaborate with data science, product and customer-facing teams
• Contribute features and fixes across Driverless AI, H2O-3, Sparkling Water and their client libraries

Requirements:

• A Bachelor's or Master's degree in Computer Science or Engineering, or equivalent practical experience
• Professional, internship or project experience building and shipping software
• Proficiency in at least one backend language: Python, Go or Java
• Familiarity building web applications with React and TypeScript, or a similar modern frontend framework
• Strong computer science fundamentals, including data structures, concurrency, networking, performance and debugging
• Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins)
• Working knowledge of containers and cloud-native deployment (Docker, Kubernetes, AWS, GCP or Azure)
• Experience designing and building REST or gRPC APIs and working with relational databases such as PostgreSQL
• Clean, readable, well-tested code and an understanding of the long-term impact of design decisions
• Clear written and verbal communication with technical peers, customers and non-engineering stakeholders
• You thrive in ambiguous environments and proactively take ownership of technical challenges
• Software Engineer: New graduates and engineers with up to 2 years of experience
• Software Engineer II: 2+ years of professional experience
• Senior Software Engineer: 5+ years of professional experience
• Machine learning experience is a plus but not required
• ML/AI experience, including training, serving or scoring models in production
• Experience in regulated or air-gapped environments
• An active U.S. government Public Trust or security clearance
• Experience with Driverless AI, H2O-3 or Sparkling Water, or contributions to open-source machine learning frameworks
• Experience with Apache Spark or other distributed computing systems
• Familiarity with LLM-based or agentic systems
• Experience building an SDK or library used by other developers