Job
Description
As a Senior Principal Software Engineer in the Foundational Services organisation, you will play a pivotal role in delivering cutting-edge SaaS capabilities for Oracles market-leading SaaS products. Our SaaS Engine is a next-generation platform designed to revolutionize SaaS ownership by leveraging advanced technologies like AI, polyglot databases, high-performance computing, and user centric design. Role Specific Responsibilities Architecting the SaaS Engine: Utilize state-of-the-art technologies such as language models, high-performance compute, next-generation Ul technology, and cloud-native architecture to build the foundation for Oracles market-leading SaaS applications. Driving Innovation: Continuously explore and implement innovative solutions to enhance the SaaS Engines capabilities, efficiency, and user experience. Collaborating with Cross-Functional Teams: Work closely with product managers, developers, and other stakeholders to ensure the SaaS Engine aligns with business objectives and delivers exceptional value to customers. Mentoring and Guiding: Provide technical leadership and mentorship to team members, fostering a culture of innovation and excellence. Technical Skills: Cloud Native Principles and Architectures: Expertise in designing scalable and resilient cloud-based solutions. - API-Driven Architecture: Proficiency in creating layered and abstracted designs using APls. Design Documentation: Ability to create comprehensive design documentation, including artefacts like sequence diagrams. Cloud Native Technologies: Familiarity with Kubernetes, Docker, serverless compute, software-driven networking, and identity and access management. API Standards: Knowledge of API standards (e.g., OpenAPI, RESTful AP|s) and related concepts (e.g., JSON, JSON Schema). - Databases: Experience with multiple database technologies (e.g., Key/Value, Graph, Document, RDBMS). Programming: Reasonable proficiency in at least one programming language (e.g., C, C++, Java, Python). Nice to have: High-Performance Computing: Familiarity with high-performance computing (e.g., CUDA). Financial Engineering: Experience in computational finance, actuarial algorithms or related area such as scientific computing Generative Al: Experience in generative Al, usage of large language models for data summarization and usability enhancement Soft Skills: Blueprints and Roadmaps: Ability to curate blueprints and define roadmaps for complex platforms. Presentation and Articulation: Effective communication skills to present designs to diverse audiences. Hands-On Approach: Willingness to be involved in practical aspects of the work. Qualifications: Bachelors degree in Computer Science, Software Engineering, or a related field or comparable experience. At least 10+ years of experience in designing and implementing complex cloud-native architectures. (Will consider candidates with exceptional experience and demonstrated skills even if they have less than 10 years.) Experience building computational models for insurance actuarial calculations Strong understanding of API design principles and best practices, with demonstrable experience in API design. While not an absolute requirement, candidates with experience contributing to API standards bodies, open-source projects will be highly regarded. Experience working with various database technologies. Familiarity with high-performance computing concepts. Excellent communication and collaboration skills. Advanced degrees (e.g., Masters, PhD) in a relevant field will be highly regarded. A passion for learning and staying up-to-date with emerging technologies.
