Cloud Platform Engineer

Join us at EIT:

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity’s greatest challenges in four transformative areas:

• Health, Medical Science & Generative Biology
• Food Security & Sustainable Agriculture
• Climate Change & Managing CO₂
• Artificial Intelligence & Robotics

This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org.

Your Role:

EIT is seeking a Cloud Platform Engineer with demonstrable experience to design, build and operate a secure, scalable and highly available Oracle Cloud Infrastructure (OCI) platform supporting enterprise applications, scientific research and AI workloads. Working closely with Infrastructure, Cyber Security and Software Engineering teams, you will deliver modern cloud services using Infrastructure as Code, automation and cloud-native best practices.

Your Responsibilities:

• Design, build, automate and operate secure, scalable, highly available OCI platform services and workloads.
• Manage OCI networking, compute, storage, identity, DNS, load balancing, object storage, monitoring and logging.
• Develop and maintain Infrastructure as Code using Terraform, with Git-based CI/CD.
• Implement cloud security controls, IAM roles and policies, network segmentation, secrets management, vulnerability remediation and audit requirements.
• Establish platform monitoring, alerting, logging, capacity management, backup, disaster recovery and incident-response procedures.
• Manage patching, upgrades, lifecycle management and service reliability for cloud workloads.
• Support application, research and AI teams with reusable cloud patterns, self-service capabilities and technical guidance.
• Optimise OCI consumption, performance and cost, working with stakeholders on forecasting and governance.
• Maintain architecture documentation, standards, runbooks and operational procedures.