Entity: Oracle America, Inc.
Job Duties: Design, develop, troubleshoot and/or test/QA software. As a member of the software engineering division, apply knowledge of software architecture to perform tasks associated with developing, debugging, or designing software applications or operating systems according to provided design specifications. Build enhancements within an existing software architecture and/or suggest improvements to the architecture. May telecommute. (385.34734)
Employer will accept a Master's degree in Computer Science, Engineering, or related technical field and 4 years of experience in the job offered or in a Software Developer 3-related occupation.
Position requires:
- Designing and maintaining high-volume, multi-stage data ingestion and transformation pipelines integrating Snowflake, MySQL, Redis, and cloud storage systems (AWS S3 or similar), including schema design, query optimization, performance tuning, warehouse sizing, clustering strategies, and secure integrations with upstream and downstream systems;
- Building enterprise-grade ELT/ETL frameworks that unify data from internal tools, Salesforce/CRM platforms, operational systems, and cloud services using REST APIs, event-driven pipelines, and containerized workflows;
- Integrating enterprise systems with Salesforce or equivalent CRM systems, building secure API connectors, automation layers, custom data synchronization engines, and multi-directional ingestion pipelines;
- Engineering heuristics-driven intelligence modules to detect anomalies, optimize pipeline behavior, improve reliability, and enforce data-quality constraints across distributed ingestion platforms;
- Migrating legacy or monolithic applications (e.g., Ruby on Rails systems) into modern distributed cloud architectures leveraging cloud, Kubernetes, microservices, and identity-aware service frameworks such as Network Identity Services;
- Implementing advanced observability, monitoring, and operational analytics (WaveFront or equivalent), and real-time anomaly detection and end-to-end reliability of multi-cluster ingestion pipelines;
- Performing advanced Linux and network systems engineering, including kernel-level debugging, process/thread analysis, network stack troubleshooting (TCP/IP, HTTP), and container runtime analysis, and optimization of distributed services running on Linux-based cloud infrastructure;
