Senior Principal Member of Technical Staff (GEN AI Infrastructure - MLE)

At Oracle Cloud Infrastructure (OCI), we are shaping the future of enterprise cloud with a diverse team of innovators committed to excellence. Blending the agility of a start-up with the global reach of the world’s leading enterprise software company, we empower our teams to create breakthrough solutions and deliver value to our customers. 
Our team (OCI Horizon Data Science & Analytics team) is focused on developing advanced analytics, machine learning, and generative AI-powered solutions and applications that provide actionable insights and drive impactful decision making across OCI, including finance, products, operations, support, and more. 

We are seeking an experienced and passionate Senior Principal Software Developer with a strong background in backend development, machine learning, and AI/GenAI, to play a leading role in the design, development, and deployment of next-generation AI-driven analytics solutions. In this key role, you will collaborate with cross-functional teams, architect and implement robust backend systems, and help bring innovative GenAI analytics capabilities to Oracle Cloud customers. Your expertise will ensure the security, scalability, and performance of our systems, driving forward OCI’s mission to deliver intelligent cloud experiences. 

We are seeking an experienced Senior Principal Software Developer with a robust background in backend engineering, AI/ML, and large-scale cloud systems, to lead the development of next-generation GenAI analytics solutions. In this role, you will:

• Design and implement comprehensive automation pipelines for infrastructure, security, and compliance, enabling seamless policy enforcement throughout the product lifecycle.
• Architect concurrent, multi-region topologies on OCI, designing and deploying service stacks across two or more regions to ensure high availability and optimal performance.
• Design, implement and optimize large-scale analytics pipelines and underlying infrastructure, using Big Data processing engines (Spark etc.) on top of large Relational and Non-Relational data stores striking right balance between consistency, availability, and performance.
• Architect concurrent, multi-region topologies on OCI, designing and deploying service stacks across two or more regions to ensure high availability and optimal performance.
• Build production-grade MLOps workflows leveraging internal OCI tools and platform (OCI Data Science, Data Integration Service etc.) enabling reproducible training pipelines, model fine-tuning and registry, and CI/CD-based deployment strategies (Functions or OKE) with progressive rollout capabilities.

This is a highly impactful role where you will collaborate cross-functionally, shape critical backend and ML architecture decisions, and drive innovation in AI-powered analytics on the Oracle Cloud. If you thrive on big challenges and want to help define the future of cloud intelligence, we would love to meet you.

Basic Qualifications  

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Minimum 10 years of hands-on software engineering experience, including direct responsibility for designing, building, and operating large-scale backend, data and infrastructure systems.
• Extensive programming and coding expertise in Java/Python/Scala, with a proven track record of delivering production-quality solutions.
• Deep hands-on expertise with a major cloud platform (OCI, AWS, GCP, Azure), and proficiency with containerization technologies (Docker, Kubernetes).
• Demonstrated experience architecting, implementing, and operating secure, scalable, and highly available cloud-based infrastructures (Oracle Cloud Infrastructure preferred).
• Direct, practical experience deploying and optimizing CI/CD pipelines, automation tools, and infrastructure as code (e.g., Terraform, Ansible).
• Solid understanding of DevOps/ML Ops practices, including hands-on involvement in building, deploying, and managing analytics/ML models in production.
• Proven ability to design, evolve, and maintain RESTful APIs (OpenAPI/Swagger).
• Good knowledge of RDBMS, Query optimization and NoSQL data stores.
• Proven ability to drill into code, resolve complex technical challenges, and actively contribute to problem resolution in high-impact projects.
• Effective communication and collaboration skills, with the ability to mentor others while remaining involved in implementation activities.

Preferred Qualifications  

• Ma