Senior Software Engineer - AI Infrastructure Innovation

You will define, design, and implement large-scale high-performance cloud services. You will interact closely with hardware, software development teams, and internal and external partners to help drive Oracle’s cloud platform solution space. You will be a critical part of the team developing Oracle’s growing cloud infrastructure solutions.

You will work with the latest distributed systems architectures, benchmark their performance, and collaborate with software engineers to ensure tight integration of new platform features. You’ll have a direct impact on shaping the future of highly available, scalable, and performant cloud platforms for a variety of workloads.

Our Principal engineers are also the people who can work independently and provide technical leadership to the rest of the team. You should have experience developing high-scale infrastructure and operating large, distributed services, and an understanding of how to make these cloud-scale services resilient. The ideal candidate will be technically strong and productive; someone who knows how to balance speed and quality with iterative and incremental improvements.

You understand operational excellence and know-how to infuse a culture of being proactive within your team. You recommend and justify major changes to new and existing products and establish consensus with data-driven approaches.

• Evaluation of system architecture and proposed implementation path analysis.
• Work directly with hardware, architecture, and software development teams on system architecture, implementation, development, deployment, and troubleshooting. Collaboration is also expected with the wider Oracle engineering and operations functional groups as well as our external partners.
• Conduct comprehensive benchmarking and performance analysis of distributed system components from various vendors.
• Compare and contrast new solutions in infrastructure and distributed systems with industry-standard platforms.
• Develop tools and processes for evaluating the performance of system components in real-world applications.
• Contribute to the design and improvement of performance optimization algorithms for distributed systems.