Software Engineer, DevOps

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

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.
• 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

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