Consultant Member of Technical Staff, GenAI Platform

About Oracle Cloud Infrastructure (OCI)

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.

The Opportunity: Consultant Member of Technical Staff, GenAI Platform

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 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.

As a Consultant Member of Technical Staff, GenAI Platform, you will lead the development of next-generation GenAI analytics solutions. Your responsibilities include:

• 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.
• 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

• 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.
• Deep understanding of data structures, algorithms, and software engineering best practices.
• Experience in progressive rollout strategies and driving the technical vision for AI-powered analytics solutions.

Responsibilities

As a Consultant Member of Technical Staff, GenAI Platform, you will lead the definition and evolution of cloud scale services using a distributed microservices based architecture. You will define software development best practices within your organization to develop and deploy high quality software at a rapid pace. You will identify business KPIs for your software and iteratively build impactful solutions that solve hard customer problems. You will be responsible for hands-on software design, development, and debugging in a cloud native environment.

Key skills/competency

• Backend Development
• Machine Learning (ML)
• Generative AI (GenAI)
• Cloud Platforms (OCI, AWS, GCP, Azure)
• Distributed Microservices
• DevOps/MLOps
• Containerization (Docker, Kubernetes)
• Automation & CI/CD
• Data Analytics Pipelines
• Java/Python/Scala