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# Platform Software Engineer II - US Citizenship Required

- **Company:** Oracle
- **Location:** Topeka, KS, United States
- **Contract:** Permanent contract
- **Skills:** Software Quality, Distributed Computing Environment, Distributed Systems, Fault Tolerance, Apache Hadoop, Apache HBase, Cloud Services, Ruby, Software Engineering, Software Systems, System Software, Software Troubleshooting, Procedural Programming, Build Management, Information Technology, Low Latency, Apache Kafka, Software Coding, Oracle Cloud Infrastructure, Data Pipelines
- **Published:** July 13, 2026
- **Apply:** https://www.kansasworks.com/jobs/13612729

## About the Role

Must be US Citizen with willingness to get federal security clearance.

 - Bachelor's degree in computer science or related discipline or experience.

 - Experience with distributed data processing systems (e.g. Hadoop, Kafka, HBase).

 - Hands on experience writing code with modern procedural programming languages such as Java and Ruby.

 - Good understanding of design concepts and ability to design software components in a distributed system.

 - 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.

 - 1-6 years of relevant experience

## Description

We're looking for technical engineers to design and build high-scale, cloud-based data processing systems that can handle massive amounts of data at low latency. You will work in software engineering teams performing design, implementing code, testing, delivering software to customers, and continue supporting the software in production.

Responsibilities

Responsibilities:

 - Participate and contribute to design discussions to build distributed, scalable, and fault-tolerant software systems.

 - Implement and 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 to improve throughput and latency.

 - Leverage industry-leading tools to develop, build, deploy, and troubleshoot software.


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