Member of Technical Staff at Oracle Risk Management Services

, , United States -

Full Time

Start Date

Immediate

Expiry Date

22 May, 26

Salary

158200.0

Posted On

21 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, C#, C/C++, Ruby, Distributed Systems, Production Operations, Troubleshooting, Communication, Technical Proposals, Design Specs, Architecture Diagrams, Data Processing Systems, Low Latency, Data Ingestion, Software Development, Optimization

Industry

IT Services and IT Consulting

Description

***U.S. Citizenship and eligibility for a Federal Security Clearance is a requirement*** At Oracle we are building a premier health data platform with intelligent services, tackling many interesting technical challenges along the way. As part of this team, your work will accelerate several architectural efforts: increasing data processing by orders of magnitude; decreasing end-to-end latency; powering the creation of comprehensive patient health records that can scale to populations of entire nations; creating a health data lake at massive scale to enable a host of intelligent health services. Healthcare applications are mission critical: our systems are held to the highest standards of availability and disaster recovery capability. We will leverage the strengths of Oracle Cloud and build software that leverages OCI services. We’re looking for a skilled and ambitious engineer to help build and maintain high-scale, cloud-based data processing systems that can handle massive amounts of data with low latency. This role will support critical data ingestion systems, strengthening and maintaining data processing pipelines that feed critical health applications. You will implement, test, optimize, and deliver software for our customers and continue supporting the software in production. Qualifications: Bachelor’s Degree required Hands on experience writing code with modern procedural programming languages such as Java, C#, C/C++, or Ruby. Familiarity with distributed systems. Experience with production operations and good practices for releasing quality troubleshooting issues when they arise. Effective communication of technical ideas verbally and in writing, including technical proposals, design specs, architecture diagrams, and presentations. Ability to collaborate effectively with the team and other stakeholders. Production experience with high volume data applications preferred. 2+ years of relevant experience Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that 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.

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Responsibilities

The role involves building and maintaining high-scale, cloud-based data processing systems capable of handling massive data volumes with low latency, supporting critical data ingestion systems and processing pipelines for health applications. Responsibilities include implementing, testing, optimizing, and delivering software, as well as providing ongoing production support.