Remote Senior Principal Software Engineer – Distributed Systems

At Oracle our exciting mission to build a premier health data platform with intelligent services, brings about several interesting technical challenges. As part of this team, you will accelerate several architectural efforts - achieve orders of magnitude data processing latency improvement, creating comprehensive patient health records that can scale to entire populations of nations, creating a health data lake at massive scale to enable a host of intelligent health services. Healthcare applications are mission critical requiring advancement to highest levels of availability and disaster recovery capabilities. As we partner with Oracle Cloud engineering teams, you will participate in advancement and early adoption of cutting edge OCI Big Data, data lake and data warehouse services and products. The Health Data platform will have global reach, requiring engineering advancements to support varying data laws and regulations, data formats and content.

We're looking for a highly skilled experienced engineers to lead design and implementation of high-scale, cloud-based data processing systems that can handle massive amounts of data with low latency. You will work with executive leaders and software engineering teams, providing technical leadership and delivering software products to our customers. 

Career Level - IC5

Responsibilities: 

• Lead design and implementation of distributed, scalable, and fault-tolerant software systems. 
• Build cloud services on top of the modern OCI infrastructure. 
• Establish best practices for the software lifecycle, from design to development, to quality assurance, and to production. 
• Provide leadership and expertise in the best engineering and operational practices upfront to ensure our software quality bar is high. 
• Optimize data processing pipelines for orders of magnitude higher throughput and faster latencies. 

Qualifications: 

• Bachelor's Degree required 
• Significant experience of designing distributed systems implementing SaaS/IaaS. 
• Experience with modern programming languages such as Java, C#, C++ or Go.  
• Deep expertise in technologies and design concepts around Big Data processing, Analytics, relational databases, unstructured storage, Hadoop or similar parallel compute technologies, stream processing, etc. 
• Demonstrated competence as a technical owner of large SaaS/IaaS systems spanning multiple components. 
• Experience in defining the technical vision for a product area, including staying abreast of current technologies, judging their applicability to your ownership spans and driving their adoption within your organization.
• Demonstrated competence in providing technical leadership to relatively large technical projects involving tens of engineers.
• Experience in working with Product Management and other stakeholders to help …