Software Developer 3

This position is for a new organization that Oracle has established: Oracle Health & AI. This team concentrates on product development and strategy to construct a modernized healthcare system based on AI technology. This is a new line of business, forged with an entrepreneurial spirit that cultivates an energetic and creative environment. 

 

As a Senior Backend Engineer, you will play a vital role in shaping the future of Health and AI at Oracle. As a member of the Clinical Digital Assistant Team, you will spearhead efforts in areas such as service resiliency, security, performance, scalability, networking, and automation. Duties and tasks are diverse and intricate, demanding independent judgment.

 

Qualifications and Experience

• BS or MS in Computer Science, or equivalent experience
• 5+ years of working experience shipping scalable, cloud-native distributed systems
• Proficient in at least one of the languages: Java, Python, Terraform
• Solid understanding of user management and runtime security
• You are experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols
• Experience in cloud computing (Compute, Networking, Storage, etc)
• Experience in container orchestration like Kubernetes/Docker/Helm Charts
• Ability to work in a collaborative, cross-functional team environment
• Experience with production operations and best practices for putting quality code in production and troubleshooting issues when they arise
• Able to effectively communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams, and presentations)

Preferred Qualifications

• Knowledge of healthcare and experience delivering healthcare applications are significant plus.

Career Level - IC3

Responsibilities

• Collaborate with product managers and service teams to build secure, scalable infrastructure that can support the growing needs of our AI service offerings.
• Implement robust data pipelines for collecting, processing, and transforming large-scale datasets.
• Stay up-to-date with the latest advancements in machine learning infrastructure, tools, and technologies, and evaluate their potential impact on our systems.
• Deploy and manage machine learning models in production environments, ensuring reliability, scalability, and security.
• Coordinate with multinational teams to drive projects from research POC to production.
• Develop production code and advocate for the best coding and engineering practices.

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. 

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. 

Experience Level

Senior Level