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.


In OCI AI Services org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. The service is an end-to-end, data-centric AI platform for internal and external users to create, manage, and use datasets for developing AI, including benchmarking and validating their models.



Key Responsibilities:
Design and develop AI software in Java, Python, and other languages. Participate in the entire software lifecycle - development, testing, CI/CD and production operations Participate in the entire model development cycle - training, fine-tuning, model serving, evaluation/benchmarking and human preference learning. Apply engineering principles for defining robust and maintainable architectures and designs. Build cloud service on top of the modern Infrastructure as Service (IaaS) building blocks at OCI Design and build distributed, scalable, fault tolerant software systems to facilitate development of GenAI models. Identify requirements, scope solutions, estimate work, schedule deliverables. Help establish and drive the adoption of outstanding coding standards and patterns and help enhance our inclusive engineering culture. Contribute to publications, blogs and open source ML performance submissions partnering with product managers Balance between product feature development and production operational concerns like ops automation, structured logging, instrumentation for metrics and participating in on-call. Minimum Qualifications
BS or MS degree in computer science, or equivalent 6-10+ years of developing and shipping enterprise distributed and/or cloud native systems Strong grasp of system design fundamentals and distributed systems architectural best practices Demonstrated ability to write great code in Java, Python, or similar OO languages Experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols Experience with containers and container orchestration technologies (Kubernetes, Docker) Strong desire to make an impact and thrive in collaborative and energetic environments Ability to effectively communicate technical concepts verbally and through design aspects Preferred Qualifications
Experience building systems on OCI or other major cloud platforms (AWS, Azure, GCP). Familiarity with observability, monitoring, and operational tooling for distributed systems. Experience optimizing large-scale data pipelines and storage systems for low latency and high throughput. Why Join Us?
Development of tooling and infrastructure to streamline AI agent development, deployment, and lifecycle management Work alongside top-tier engineers in a collaborative and innovative environment. Contribute to solving some of the most challenging problems in distributed systems and cloud operations. * Competitive compensation, comprehensive benefits, and exciting career growth opportunities.