Software Engineer, DevOps at H2o.ai, Inc.

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

26 Jun, 26

Salary

0.0

Posted On

28 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Aws, Kubernetes, Terraform, Ansible, Cloudformation, Iam, Ci/Cd, Helm, Prometheus, Grafana, Bash, Python, Linux, Containers, Networking, Devops

Industry

Software Development

Description

Founded in 2012, H2O.ai is on a mission to democratize AI. 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 GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our 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, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. 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 Sydney, 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. 2+ years of hands-on Kubernetes experience in production environments. Strong hands-on experience with AWS. Experience operating cloud-based applications in production or near-production settings. 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. Technical 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.) Experience supporting AI/ML or data-intensive workloads in cloud environments 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-Hybrid

Responsibilities

The role involves designing, implementing, and optimizing secure, scalable cloud environments on AWS and Kubernetes, while working directly with enterprise customers to deliver production-grade solutions. Responsibilities include deploying infrastructure using Infrastructure as Code, maintaining CI/CD pipelines, implementing observability, and troubleshooting containerized workloads.