INFRASTRUCTURE ENGINEER (IT)

Oracle Cloud Infrastructure is looking for an Infrastructure Engineer (IT) to help build and operate reliable, scalable cloud services.

You'll work at the intersection of software, infrastructure, and operations - designing for resilience, improving service health, automating repetitive work, and solving complex production issues. You'll partner closely with engineering teams to ensure services can scale with demand while remaining secure, observable, and dependable.

This role is well suited to an engineer who enjoys deep technical problem-solving, operates comfortably in production environments, and wants to improve how large-scale cloud systems are built and run.

What You'll Do

. Design and evolve infrastructure and services for reliability, scalability, and performance.

. Forecast capacity needs and identify risks before they affect customers.

. Partner with software engineering teams to improve service architecture and operational readiness.

. Lead incident response, troubleshooting, root-cause analysis, and post-incident improvements.

. Build automation, tooling, and scripts that reduce manual effort and improve reliability.

. Monitor service health, performance, and availability, and act on emerging trends.

. Improve observability, operational workflows, and service-level performance.

. Evaluate new tools and technologies that can improve reliability, efficiency, or scale.

. Contribute to technical guidance, knowledge sharing, and the development of other engineers.

What You'll Bring

. This role is open only to Singapore Citizens, as the scope of work involves government projects that require citizenship for clearance purposes.

. Strong experience in site reliability engineering, software engineering, infrastructure, or cloud operations.

. Deep troubleshooting and incident-response experience across complex production environments.

. Strong programming or scripting skills and hands-on automation experience.

. Experience with infrastructure, virtualization, security tooling, and database reliability.

. Strong understanding of monitoring, capacity planning, service health, and SLOs.

. Ability to diagnose issues across multiple services and technical domains.

. Strong communication and collaboration skills across engineering teams.

. A mindset focused on resilience, simplification, automation, and continuous improvement.