Principal Software Engineer - Oracle HDI Analytics Platform Infrastructure at Oracle Risk Management Services

, , United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

223400.0

Posted On

25 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Infrastructure, Reliability, Vertica, Data Warehousing, ETL Frameworks, Business Intelligence, Tableau, Power BI, Oracle Analytics, DevOps, SRE Practices, CI/CD Pipelines, Kubernetes, Infrastructure As Code, Terraform, Python

Industry

IT Services and IT Consulting

Description

***U.S. citizenship is required for this position, as the successful candidate will be required to obtain (and maintain) a U.S. government security clearance after hire.*** Location: [Remote] About the Role Join Oracle's Health Data Intelligence (HDI) team as a Senior Software Engineer (IC4) and drive the reliability, scalability, and innovation of our world-class analytics platform infrastructure. In this individual contributor role, you'll architect, build, and transform cutting-edge systems that power healthcare analytics, ensuring seamless performance across massive datasets and diverse cloud environments. Collaborate with cross-functional teams to deliver robust solutions that enable business intelligence, reporting, and data-driven insights for global healthcare leaders. Required Skills * Infrastructure & Reliability: Expertise in designing, implementing, and optimizing high-availability infrastructure with fault tolerance and performance tuning. * Data Technologies: Proficiency in Vertica, Data Warehousing Platforms and tools including columnar storage/analytics, and ETL frameworks. * BI & Reporting: Hands-on experience integrating and enhancing Business Intelligence tools (e.g., Tableau, Power BI, Oracle Analytics) for actionable insights. * DevOps/SRE Practices: Strong skills in automation, CI/CD pipelines (Jenkins, Kubernetes), Infrastructure as Code (Terraform), and monitoring/observability (Prometheus, Grafana). * Cloud Ecosystems: Deep knowledge of multi-cloud environments (AWS, Oracle Cloud) with focus on cost efficiency, scalability, and compliance. * Problem-Solving & Collaboration: Proven ability to troubleshoot production issues, conduct root-cause analysis, mentor teams, and contribute to technical roadmaps. * Programming & Tools: Solid foundation in languages like Python/Java/Go, plus containerization (Docker) and scripting for cloud-native architectures. 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 [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 engineer will architect, build, and transform cutting-edge systems that power healthcare analytics, focusing on reliability and scalability across massive datasets and diverse cloud environments. This involves collaborating with cross-functional teams to deliver robust solutions for business intelligence and data-driven insights.