Nice to Have Skills:
Additional skill sets:
Working knowledge of Linux
Scheduling and configuring Control-M
Clear communication with Project, operations, engineering, and business teams
Detailed Job Description
Azure & DevOps Concepts (5+ years of experience):
Infrastructure as Code (IaC) using Terraform, HashiCorp Vault
Powershell / Bash / Python scripting knowledge
Knowledge of Ingress and Egress Networks, Private Links, NSGs
Understanding of Application Registration, Service Principals, implementing RBACs (Role Based Access Control)
Working knowledge of following Azure components : Azure Blob Storage, AKS, ACA, Event Hub, Service Bus etc
8 years' experience in Full stackengineers need to be proficient in a variety of technical skill
Experience including :
·Coding and scripting:Knowledge of programming languages like Python, ReactJS/TypeScript/MaterialUI/PrimeReact, Redis, PostGres, OpenAPI, RabbitMQ, Celery.
·Testing: Unit testing for both Frontend and Backend, Storybook/Vitest/Jest
·Architecture: Microservice, 12 Factor App
·Security: Cyber Compliance, Vulnerability fixes, SIEM, Pentest, Nessus, PRISMA etc.
·Security:Skills to investigate threats, analyze code, and assess vulnerabilities
·Linux:Knowledge of Linux, an open-source operating system, to automate applications and testing environments
·Cloud computing:Familiarity with cloud providers like AWS/ Azure, or Google Cloud Platform
·Database management:Knowledge of database management systems like MySQL, PostgreSQL, or NoSQL databases
Mandatory :
1. Testing tools upgradation, Re-platform
2. Migration to SAAS (AWS is the cloud provider)
3. Resources are expected to have the strong working experience with CI CD, Chef (chef cookbooks & pipeline creation) & Terraform, Jenkins
4. Good to have experience / knowledge with activities related to Network & Firewall
5. Continuous deployment and change management experience is desired
Java rest API knowledge and development
Experience using API gateway such as Axway or Apigee
Experience with tools such as Bamboo, Bitbucket (Git) and Postman
Containerized builds and deployment (Docker)
Experience with Linux servers (basic Unix shell)
Splunk knowledge (SPL)
Remedy change and incident management processes
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
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
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.
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
About This Prospect
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
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.
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
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📌 Cloud Devops Engineer (Sydney)
🏢 XPT Software Australia Pty
📍 Sydney