About the job
Here at OCI we’re building the world’s largest AI clusters and we’re the fastest at bringing them to the market. This is your chance to be part of the AI revolution by creating systems that allow customers to scale from tens to thousands of GPUs without compromising performance. You will have the opportunity to work with cutting-edge technologies and make a significant impact on our organization's success. Our team is responsible for deliver trusted, fast health determinations and customer‑initiated diagnostics that reduce false positives for GPU clusters, prevent unnecessary node returns, increase capacity for customers, protect revenue, and improve uptime—by providing an OCI‑supported safe diagnostic experience and by living OCI values.
Responsibilities
Design and develop large-scale distributed software services and solutions to manage AI infrastructure of OCI.
Write high quality and maintainable code by leveraging design reviews, code reviews, unit tests and integration tests.
Develop complete solutions by ensuring that the services and the components are well-defined and modularized, secure, reliable, diagnosable, actively monitored, compliant and reusable.
Focus on customer needs through a data driven approach.
Collaborate with other team members working on the same project to meet customer requirements.
Troubleshoot and optimize automation for reliability, performance, and availability.
Qualifications
Minimum
BS (or equivalent experience) in Computer Science, Engineering, or related field.
3+ years of experience in software development with programming languages including, but not limited to, C, C++, C#, Java, Go, Rust.
1+ year of experience designing and developing distributed systems and services.
Strong problem-solving and troubleshooting skills, with the ability to analyze complex systems and identify areas for improvement.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Preferred
Experience in managing cloud infrastructure with hundreds of thousands of servers.
Experience in containerization technologies such as Docker and Kubernetes.
Experience in scheduling high-performance workloads on Kubernetes or Slurm.