Principal Member of Technical Staff (GenAI Platform)

Oracle

84d

About The Position

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. We are seeking an experienced and passionate 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 GenAI Platform. In this key role, you will collaborate with cross-functional teams, architect and implement robust backend systems, and help bring innovative GenAI 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.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Minimum 7 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.

Nice To Haves

• Master’s or higher degree in Computer Science or a related field.
• 12+ years of professional experience in cloud infrastructure, backend engineering, DevOps, or ML Ops roles.
• Recognized certifications in cloud computing, security, or DevOps methodology.
• Demonstrated experience operating and optimizing large-scale analytics workloads (Spark/Data Flow, Autonomous Data Warehouse, Object Storage).
• Track record of building production-grade MLOps workflows and deploying ML/AI models at scale.
• Experience designing secure, automated, and compliant infrastructure in regulated environments.
• Advanced coding skills in Python and Java, plus experience with distributed computing frameworks (Spark, Hive).
• Prior roles supporting major production systems, operations, cloud support, or similar high-availability domains.
• Strong knowledge of cloud platform (AWS, OCI, Azure) architectures and operational best practices.

Responsibilities

• 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 on top of large Relational and Non-Relational data stores striking right balance between consistency, availability, and performance.
• Collaborate cross-functionally, shape critical backend and ML architecture decisions, and drive innovation in AI-powered analytics on the Oracle Cloud.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees