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Director, AI and Analytics
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Certifications, i.e. Databricks Machine Learning Professional OR Databricks Data Engineer Professional, Cloud Architect certification (Azure/AWS/GCP), or equivalent
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Enterprise Cloud SE Tech Specialist
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h2o.ai

Software Engineer

Austin, TX, United States

Apply on h2oai.applytojob.com About employer

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Job details

Apply by: Feb 11, 2027
Posting language: English
Posted: Nov 13, 2026

Original job description

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.

What We Are Looking For We focus on demonstrable skills and ownership rather than specific tenure. You are an ideal candidate if you have:

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.

Our Stack

Backend: Python, Go, Java
Frontend: React and TypeScript
Platforms: Driverless AI, H2O-3, Sparkling Water
Infrastructure: Kubernetes, Docker, Helm, multi-cloud (AWS, GCP, Azure)
Data: PostgreSQL, object storage, message queues
CI/CD: Jenkins, GitHub Actions

Prior knowledge of every tool is not required. We value your ability to learn and adapt to our ecosystem quickly.

How to Stand Out From the Crowd

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.

Why H2O.ai?

Market leader in total rewards
Remote-friendly culture
Flexible working environment
Be part of a world-class team
Career growth

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.

H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.

H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose.

Please visit www.H2O.ai to learn more. LI-Remote For information about how H2O.ai collects, uses, and protects your personal information during the recruitment process, please review our Candidate Privacy Notice.

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Jobs in the United States