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- Experience leading software development teams; including requirements definitions, technical designs, coding, testing, and implementation.
Junior Oracle Application Developer - Charleston, United States - Patterned Learning AI
Description
Job Description
Junior Oracle Application Developer - Hybrid (3 days in office) Job, 1+ Year Experience
Annual Income: $67K - $78K
A valid work permit is necessary in the US
About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.
Job description
OAD will provide IT support to maintain and configure existing and future systems. Enabling IT
includes the current Oracle E-Business CRM, existing Avaya telephony, and any future solutions.
OAD will lead the overall configuration and development effort to implement new business processes and applications within the E-Business platform.
Requirements:
Mandatory:
Existing Secret Clearance
Education:
Bachelor's degree in computer science or technology-related field
Experience:
Minimum of 1 year with CRM experience in the Oracle E-Business environment and experience developing forms, workflows, alerts, and reports.
Skills:
Deeply familiar with Oracle database technology, ability to lead the creation of system
related documentation, using coding repositories, strong knowledge and experience with
reporting packages, databases, and programming, knowledge and experience using statistical
packages for analyzing large datasets, ability to work in remote environment
Why Patterned Learning LLC?
Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate development.
Pattern recognition is particularly relevant in the context of coding. Neural networks, intense learning models, are commonly employed for pattern detection and classification tasks.
These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.