Principal Member Technical Staff

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.  Oracle Generative AI Service is an exciting team in Oracle Cloud Infrastructure. We are delivering innovative services at the intersection of artificial intelligence and cloud infrastructure. In Generative AI Service team, you will build and operate massive-scale cloud services leveraging state of art machine learning technologies. We are committed to providing the best in cloud products to meet the needs of our customers who are tackling some of the world’s most challenging problems. You will be part of a team of smart, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact by designing and building innovative new systems to power our customer’s business critical applications.  Your Opportunity: As a principal member of the software engineering division, you will take an active role in the design, development, deployment and operations of Oracle’s Generative AI agent service offerings. What You’ll Do
 Develop Generative AI agent services and enterprise specific capabilities around Agentic AI platform with best-in-class security for customers. Design and develop scalable infrastructure, including microservices and backend for UI, dashboards and other interactive applications. Participate in cloud native development involving identity, logging, tagging, limits, service gateway, private network and other infrastructure concepts
 Work with data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs and address external and internal shareholder's product challenges. Mentor and guide junior engineers on design, development, coding, testing and deployment Participate in on-call duty and production operations on rotation Qualifications Bachelor’s or master’s degree (preferred) in Computer Science, Computer Engineering, or related technical field. Expert in at least one high level language such as Java/C#/C++ (Java preferred) Expert in at least one scripting language such as Python, JavaScript, Shell (Python and JavaScript preferred)
 Working knowledge in at least one UI framework, ., react JS, angular etc
 Practical experience in design, implementation and production deployment of distributed systems using microservices architecture and API’s using common frameworks like Spring Boot (Java), etc
 Working knowledge of current techniques and approaches in machine learning and statistical or mathematical models Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development and DevOps processes. Strong drive to learn and master new technologies and techniques.
 Deep understanding of data structures, algorithms, and excellent problem-solving skills. You enjoy a fast-paced work environment.   Additional Preferred Qualifications Experience with Cloud Native Frameworks tools and products is a plus
 Hands-on experience or knowledge in Machine Learning Engineering, ML framework, ML Ops or Generative AI As a principal member of the software engineering division, you will take an active role in the design, development, deployment and operations of Oracle’s Generative AI agent service offerings. What You’ll Do
 Develop Generative AI agent services and enterprise specific capabilities around Agentic AI platform with best-in-class security for customers. Design and develop scalable infrastructure, including microservices and backend for UI, dashboards and other interactive applications. Participate in cloud native development involving identity, logging, tagging, limits, service gateway, private network and other infrastructure concepts
 Work with data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs and address external and internal shareholder's product challenges. Mentor and guide junior engineers on design, development, coding, testing and deployment Participate in on-call duty and production operations on rotation Career Level - IC4