3 days ago
Denver, CO, USAEntry Level / Mid Level / Senior
Responsibilities
- Design, implement, and maintain backend services and APIs using Python, Go, and Java.
- Develop and operate Kubernetes-based cloud-native services for predictive AI workloads in cloud and on-premise environments.
- Build and maintain CI/CD pipelines, multi-architecture builds, dependency upgrades, vulnerability remediation, and FedRAMP-compliant builds.
- Build and maintain web interfaces using React and TypeScript.
- Resolve customer issues with support and field engineering and drive fixes back into the product.
- Translate product requirements into technical specifications and communicate architectural trade-offs.
- Contribute through code reviews, testing, documentation, performance monitoring, troubleshooting, and system optimization.
- Collaborate with data science, product, customer-facing, and other engineering teams across Driverless AI, H2O-3, Sparkling Water, and their client libraries.
Requirements
- 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.
- Experience or familiarity building web applications with React and TypeScript or a similar modern frontend framework.
- Strong computer science fundamentals in data structures, concurrency, networking, performance, and debugging.
- Hands-on experience with CI/CD pipelines such as GitHub Actions or Jenkins.
- Working knowledge of containers and cloud-native deployment with Docker, Kubernetes, AWS, GCP, or Azure.
- Experience designing and building REST or gRPC APIs and working with relational databases such as PostgreSQL.
- Ability to write clean, readable, well-tested code and understand long-term design impacts.
- Clear written and verbal communication with technical and non-engineering stakeholders.
- Preferred qualifications include ML/AI production experience, regulated or air-gapped environment experience, a U.S. government Public Trust or security clearance, H2O.ai or open-source ML framework experience, Apache Spark or distributed-computing experience, LLM or agentic-system familiarity, and SDK or library development experience.
Benefits
- Remote position based in the United States.
- Remote-friendly culture and flexible working environment.
- Market-leading total rewards, career growth, and opportunity to join a world-class team.
Tech Stack
Apache SparkAWSAzureDockerGitHub ActionsGoGoogle Cloud PlatformgRPCHelmJavaJenkinsKubernetesPostgreSQLPythonReactTypeScript
Categories
About H2O.ai
H2O.ai builds open-source and commercial platforms for machine learning and generative AI, used by enterprises and public-sector teams to develop models and applications on private data. Its portfolio includes H2O-3, Driverless AI, and tools for LLM fine-tuning and deployment, offered via subscriptions and cloud services. Founded in 2012 and headquartered in Mountain View, it is privately held; customers include AT&T, Commonwealth Bank of Australia, Workday, and the NIH.