Software Developer 3 - OCI AI Platform

Role Overview: You will be joining the AI Platform, Services & Solutions organization within OCI to contribute to the development of AI infrastructure and services at Oracle. As a Senior Software Development Engineer, you will work on critical components of OCIs AI platform, focusing on GPU cluster management, self-service ML infrastructure, and model serving systems. This hands-on role will involve building large-scale distributed systems, optimizing AI/ML workflows, and collaborating with cross-functional teams to deliver scalable solutions. Key Responsibilities: - Design, implement, and operate scalable services for GPU-based model training, tuning, and inference. - Build tools and APIs to facilitate the launch, monitoring, and management of ML workloads for internal and external users. - Collaborate with product, infrastructure, and ML engineering teams to define and deliver key platform features. - Optimize performance, reliability, and efficiency of AI infrastructure using best-in-class engineering practices. - Contribute to platform automation, observability, CI/CD pipelines, and operational excellence. - Troubleshoot complex issues in distributed systems and participate in on-call rotations as necessary. - Mentor junior engineers and engage in design and code reviews. What You'll Do: - Build cloud services on top of modern Infrastructure as a Service (IaaS) building blocks at OCI. - Design and develop distributed, scalable, fault-tolerant software systems. - Participate in the entire software lifecycle, including development, testing, CI, and production operations. - Utilize internal tooling at OCI for software development, deployment, and troubleshooting. - Engage in on-call responsibilities for the service alongside the team. Qualifications: - 4+ years of experience in shipping scalable, cloud-native distributed systems. - Proficiency in Go, Java, Python. - Experience with Kubernetes controller and operators. - Knowledge of building highly available services and common service-oriented design patterns. - Ability to effectively communicate technical ideas verbally and in writing. - BS in Computer Science or equivalent experience. Preferred Qualifications: - MS in Computer Science. - Experience in diagnosing and resolving performance issues in complex environments. - Deep understanding of Unix-like operating systems. - Production experience with Cloud and ML technologies. - Previous exposure to Generative AI, LLM, and machine learning. (Note: The "About Us" section has been omitted from the Job Description as it does not pertain to the specific role requirements.),