Software Engineer, DevOps

About H2O.ai

H2O.ai, founded in 2012, is a global leader in agentic AI, combining Generative and Predictive AI to empower enterprises and public sector organizations in developing specialized GenAI applications using their own data. They emphasize Sovereign AI, ensuring secure, compliant, and adaptable infrastructure deployments aligned with strict data privacy standards. Trusted by over 20,000 organizations including half of the Fortune 500, H2O.ai supports AI innovation for companies such as AT&T, Commonwealth Bank of Australia, and NIH. Key partners include NVIDIA, Dell Technologies, Deloitte, EY, Snowflake, AWS, and Google Cloud. The company is also committed to social good through its AI for Good initiative supporting education, healthcare, and environmental efforts, with a community of 2 million data scientists worldwide. Investors include Commonwealth Bank, NVIDIA, Goldman Sachs, and Wells Fargo.

Role Overview

We are looking for a motivated Software Engineer specializing in DevOps to join our Melbourne-based team. You will focus on designing, implementing, and optimizing secure, scalable cloud platforms while working closely with enterprise customers to deliver production-level cloud solutions. This role requires strong cloud and DevOps fundamentals and offers opportunities to grow in hands-on, customer-facing delivery. Collaboration with Customer Success, Enterprise Support, and Product Engineering teams is essential for continuous improvement of customer environments.

Key Responsibilities

• Deploy, manage, and enhance secure, scalable cloud infrastructure on AWS and Kubernetes.
• Automate infrastructure setup and configuration using tools like Terraform, Ansible, and CloudFormation.
• Ensure reliability, security, performance, and scalability of client cloud environments.
• Apply cloud security best practices concerning identity access management, networking, encryption, and control access.
• Design and maintain CI/CD pipelines to facilitate consistent software deployment.
• Automate operational tasks and environment provisioning.
• Implement monitoring solutions including metrics collection, logging, alerting, and overall observability.
• Manage release and configuration for production systems and oversee Kubernetes clusters.
• Troubleshoot and optimize container-based workloads using tools like kubectl, Helm, and ingress controllers.
• Collaborate directly with enterprise customers to support deployment and operational improvements.
• Translate technical requirements into executable plans and contribute to architectural discussions.
• Assist with incident management and troubleshooting in cloud and Kubernetes environments.
• Work with internal teams to provide product feedback and enhance deployment experiences.

Candidate Profile

• Bachelor's degree in Computer Science, IT, or related field, or equivalent practical experience.
• Minimum two years’ experience in cloud infrastructure, DevOps, or platform engineering roles.
• Proven hands-on expertise with AWS cloud services and deployment of cloud applications.
• Experience in building CI/CD pipelines and automating infrastructure deployment.
• Strong problem-solving skills in Linux systems, containerization, networking, and distributed systems.
• Prior customer-facing technical experience, especially in banking or financial services, is highly valued.
• Excellent verbal and written communication abilities.
• Demonstrated enthusiasm for learning and adaptability in dynamic environments.

Preferred Competencies

• Familiarity with Infrastructure as Code tools: Terraform, Ansible, and CloudFormation.
• Knowledge of Kubernetes and container orchestration.
• Experience with CI/CD platforms such as GitHub Actions, Jenkins, or GitLab CI.
• Competency in observability tools like Prometheus and Grafana, plus cloud-native monitoring solutions.
• Understanding of cloud security fundamentals.
• Scripting proficiency in Bash, Python, or similar languages.

Advantages

• Exposure to Google Cloud Platform or Microsoft Azure.
• Certifications related to cloud platforms, Kubernetes, or AI/ML.
• Experience supporting AI/ML or high-data workloads.
• Knowledge of security, compliance, and data governance standards.
• Familiarity with Generative AI frameworks such as LangChain, AutoGen, and others.

Why Work with H2O.ai?

• Industry-leading total rewards package.
• Supportive remote-friendly culture with flexible working arrangements.
• Opportunity to collaborate with exceptional global teams.
• Pathways for career progression and growth.

Diversity & Inclusion

H2O.ai is committed to fostering a diverse and inclusive workplace, welcoming applicants regardless of race, ethnicity, religion, gender, sexual orientation, age, disability, or other protected characteristics.