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

About This Opportunity

We are seeking a skilled and motivated Software Engineer, DevOps to join our growing team that enables and accelerates H2O.ai customers. In this role, you will design, implement, and optimise secure, scalable cloud environments while working directly with enterprise customers to deliver production‑grade solutions in their cloud infrastructure.

This is a hands‑on role for an engineer with strong cloud and DevOps fundamentals who is excited to grow in customer‑facing delivery. You will collaborate with Customer Success, Enterprise Support, and Product Engineering to help customers successfully deploy production‑grade solutions and continuously improve their environments.

This position is based in Sydney, Australia.

What You Will Do

- Deploy, maintain, and improve secure, scalable systems on AWS and Kubernetes.
- Automate infrastructure provisioning and configuration using Infrastructure as Code tools such as Terraform, Ansible, and CloudFormation.
- Support reliability,



performance, security, and scalability of customer cloud environments.
- Implement cloud security best practices across IAM, networking, encryption and access controls.

H2O.ai is on a mission to democratize AI for Positive. 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

About This Opportunity

We are seeking a skilled and motivated Software Engineer, DevOps to join our growing team that enables and accelerates H2O.ai customers. In this role, you will design, implement, and optimise secure, scalable cloud environments while working directly with enterprise customers to deliver production‑grade solutions in their cloud infrastructure.





This is a hands‑on role for an engineer with strong cloud and DevOps fundamentals who is excited to grow in customer‑facing delivery. You will collaborate with Customer Success, Enterprise Support, and Product Engineering to help customers successfully deploy production‑grade solutions and continuously improve their environments.

This position is based in Sydney, Australia.

Cloud Infrastructure & Platform Delivery

- Deploy, maintain, and improve secure, scalable systems on AWS and Kubernetes.
- Automate infrastructure provisioning and configuration using Infrastructure as Code tools such as Terraform, Ansible, and CloudFormation.
- Support reliability, performance, security, and scalability of customer cloud environments.
- Implement cloud security best practices across IAM, networking, encryption and access controls.

DevOps & Automation

- Design and maintain CI/CD pipelines for reliable software delivery.
- Automate operational processes and environment provisioning.
- Implement observability frameworks including metrics, logging, monitoring, alerting.
- Manage release and configuration processes for production systems.
- Deploy and operate production‑grade Kubernetes clusters.
- Troubleshoot and optimise containerised workloads.
- Work with tooling such as kubectl, Helm, ingress controllers, and cloud‑native services.

Customer Delivery

- Work directly with enterprise customers and partners to support deployments and operational improvements.
- Translate technical requirements into practical implementation plans.
- Contribute to architecture discussions and continuous improvement recommendations.
- Support incident resolution and troubleshooting across cloud and K

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