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Senior · 5+ years exp
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Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 14, 2026.

Overview
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H2O

Only H2O.ai provides an end-to-end GenAI platform where you own every part of the stack. Built for airgapped, on-premises or cloud VPC deployments.

H2O.ai is on a mission to democratize AI for Good. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control.

Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH.

For more information, visit www.h2o.ai.

About This Opportunity

We are looking for a full-stack Software Engineer to join our Predictive AI engineering team. The team develops H2O Driverless AI, H2O-3 and Sparkling Water, the cloud platform AutoML and Predictive stack, and is responsible for the CI/CD, release and security processes for these products. This role supports our work with U.S. federal government customers.

The ideal candidate is a hands-on full-stack engineer with experience building backend services and web applications, working with Docker and Kubernetes, and maintaining CI/CD pipelines. Machine learning experience is a plus but not required.

This position is open at multiple levels (Software Engineer, Software Engineer II, Senior Software Engineer). Level and compensation will be commensurate with experience.

This is a remote position based in the United States.

What You Will Do

  • 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.

Levels

Candidates will be considered for the level that best matches their experience.

  • Software Engineer:New graduates and engineers with up to 2 years of experience. Delivers well-scoped features with guidance from senior engineers.
  • Software Engineer II:2+ years of professional experience. Works independently on most tasks, owns features end to end and leads small to mid-sized projects.
  • Senior Software Engineer:5+ years of professional experience. Owns a functional area, leads the design of complete features and mentors other engineers.
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