Remote Principal Software Engineer

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 design and build high-scale, cloud-based data processing systems that can handle massive amounts of data with low latency. You'll work with software engineering teams to provide technical leadership, perform design, implement code and deliver software products to our customers.

Career Level - IC4

Responsibilities: 

• Design and build distributed, scalable, and fault-tolerant software systems. 
• Build cloud services on top of the modern OCI infrastructure. 
• Participate in the entire software lifecycle, from design to development, to quality assurance, and to production. 
• Invest 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. 
• Leverage a plethora of internal tooling at OCI to develop, build, deploy, and troubleshoot software. 

Required Qualifications: 

• Bachelor's Degree required 
• Significant experience with 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 lead of a non-trivial SaaS/IaaS project spanning multiple functional areas, involving up to 10 engineers. 
• Demonstrated competence in taking ambiguous functional and/or product requirements and partitioning them based on functional alignment.
• Experience with working with technical partners to translate ambiguous requirements into actionable technical requirements and per-component designs. 
• Experience with owning all aspects of the …