This position is based in Melbourne, Australia.
What You Will Do
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 optimize containerized 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 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.
Minimum 2 years of hands-on software development experience using Python, Java, or Go, with demonstrated experience writing and maintaining production application code (beyond internal tooling and automation).
Strong hands-on coding skills are essential, with production application development experience a key requirement for this role.
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.
Preferred Skills
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.
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