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 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 optimize 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 Melbourne, 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.
- 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 optimize containerized workloads.
- Work with tooling such as kubectl, Helm, ingress controllers, and cloud-native services.
- 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 Kubernetes environments.
- Collaborate with internal teams to surface product feedback and improve deployment experience.
What We Are Looking For
- Degree in Computer Science, Information Technology, or related discipline, or equivalent practical experience.
- 2+ years of experience in cloud, DevOps, platform engineering, or related roles.
- Strong hands-on experience with AWS.
- Experience deploying cloud-based applications
- Experience building CI/CD pipelines and automating infrastructure.
- Strong troubleshooting skills across Linux, containers, networking, and distributed systems.
- Prior experience in customer-facing technical roles within banking or financial services is highly advantageous.
- Strong written and verbal communication skills.
- Strong learning mindset and ability to adapt quickly in a fast-moving environment.
- Infrastructure as Code: Terraform, Ansible, CloudFormation
- Kubernetes and container orchestration
- CI/CD tooling: GitHub Actions, Jenkins, GitLab CI, or similar
- Monitoring and observability tools such as Prometheus, Grafana, and cloud-native monitoring
- Cloud security fundamentals
- Scripting with Bash, Python, or similar.
How to Stand Out From the Crowd
- Exposure to GCP/Azure is a plus.
- Cloud, Kubernetes, or AI/ML certifications.
- Experience supporting AI/ML or data-intensive workloads.
- Familiarity with security, compliance, or data governance requirements.
- Exposure to Generative AI frameworks (LangChain, AutoGen, MiroFish, OpenClaw, etc.)
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.
Skills Required
- Degree in Computer Science, Information Technology, or a related discipline, or equivalent practical experience
- 2+ years of experience in cloud, DevOps, platform engineering, or related roles
- Strong hands-on experience with AWS
- Experience deploying cloud-based applications
- Experience building CI/CD pipelines and automating infrastructure
- Strong troubleshooting skills across Linux, containers, networking, and distributed systems
- Strong written and verbal communication skills
- Strong learning mindset and ability to adapt quickly
- Prior customer-facing technical experience in banking or financial services
- Experience with Terraform, Ansible, and CloudFormation
- Kubernetes and container orchestration experience
- Experience with GitHub Actions, Jenkins, GitLab CI, or similar CI/CD tools
- Experience with Prometheus, Grafana, or cloud-native monitoring tools
- Cloud security fundamentals
- Scripting experience with Bash, Python, or similar
- Exposure to GCP or Azure
- Cloud, Kubernetes, or AI/ML certifications
- Experience supporting AI/ML or data-intensive workloads
- Familiarity with security, compliance, or data governance requirements
- Exposure to generative AI frameworks
What We Do
H2O.ai is the leading AI cloud company, on a mission to democratize AI for everyone. Customers use the H2O AI Hybrid Cloud platform to rapidly make, operate and innovate to solve complex business problems and accelerate the discovery of new ideas. H2O.ai is the trusted AI partner to more than 20,000 global organizations, including AT&T, Aegon/ Transamerica, Allergan, Bon Secours Mercy Health, Capital One, Commonwealth Bank of Australia, GlaxoSmithKline, Hitachi, Kaiser Permanente, PayPal, PWC and Walgreens, over half of the Fortune 500 and one million data scientists. Goldman Sachs, NVIDIA and Wells Fargo are not only customers and partners, but strategic investors in the company. H2O.ai’s customers have honored the company with a Net Promoter Score (NPS) of 78— the highest in the industry based on breadth of technology and deep employee expertise. The world’s top 20 Kaggle Grandmasters (the community of best-in-the-world machine learning practitioners and data scientists) are employees of H2O.ai. A strong AI for Good ethos to make the world a better place and Responsible AI drive the company’s purpose. Please join our movement at www.H2O.ai.
