Oracle

We're looking for 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 a team of smart, motivated, and diverse people and be given the autonomy and support to do your best work. This is a rare opportunity to make a meaningful impact in society while working in a dynamic and flexible workplace where you'll belong and be encouraged.

Qualifications:

• Bachelor's Degree required
• Significant experience with distributed systems.
• Experience with modern programming languages such as Java, C#, C/C++, or Ruby.
• Experience with container platforms such as DC/OS, Kubernetes
• Fluency in technologies and design concepts around Big Data processing and relational databases, such as the Hadoop ecosystem, Map/Reduce, stream processing, etc.
• Experience with production operations and good practices for putting quality code into production and 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.
• Preferably, production experience with Cloud and data processing technologies.

Responsibilities:

As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. Define specifications for significant new projects and specify, design and develop software according to those specifications. You will perform professional software development tasks associated with the developing, designing and debugging of software applications or operating systems.

• 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.