Job Description

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Values are OCI\'s foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you\'ll belong and be encouraged. This role is available in theOCI AI Data Org . We are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. We are building cloud services and tools for all aspects of data-centric AI and machine learning lifecycle - data ingestion, synthetic data generation, data labeling, data benchmarking, model training and ML data infrastructure. Our services are used by both internal and external customers for processing machine learning data related to Vision, Language, Speech and other AI capabilities. Preferred Requirements About 3 to 10 years of software development experience, with a strong foundation in Computer Science through a Bachelor\'s / Master\'s or equivalent educational qualification You have prior experience working on distributed systems at a cloud service provider You are proficient in Java and related technologies, preferably as a full stack developer including modern JavaScript technologies You are experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols You are familiar with components of modern infrastructure like service discovery, secret storage, software-defined networking, containers, etc. You have hands-on experience performing devops functions (build, deploy, monitor etc) using relevant tools, preferably in Cloud environment You have experience with production operations and good practices for putting quality code in production and troubleshoot issues when they arise Preferably, production experience with Cloud and ML technologies You feel at home communicating technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations) Data science and machine learning knowledge would be helpful, but not required

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