This is a remote position.
Junior MS Dynamics 365 Developer - Remote Job, 1+ Year Experience
Annual Income: $64K - $74K
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
The MS Dynamics 365 Developer will reinforce the R&D team, in which you will be responsible for building highly interactive, innovative applications for our standard solution, using the latest Microsoft technologies (X++). The solution integrates CRM, billing, invoicing, cash collection, meter data, and asset and service management modules in one solution, offering utilities the tools & processes for effective sales, increased customer contribution margins, reduced lead times, and streamlined operations. By doing so, it enables them to take operational performance and customer experience to higher levels, while cutting costs to serve.
Responsibilities:
Be a part of a Scrum team that focuses on specific modules within the product; Have short daily stand-ups with your colleagues (fellow Developers, Testers, and Functional Architect) to ensure the timely progression of the work; Guarantee the generalization/standardization of the minimal solution to obtain a re-usable component in MS Dynamics AX; Develop software based on the design specifications made by the functional and technical consultants; Apply your expertise to deliver high-quality development work, according to the standards efficiently and effectively.
Qualifications
Experience in OOP programming (C++, C#, Java, .net); Knowledge of X++, or the desire to learn X++ (ramp-up training will be provided); Is a quality-driven, result-oriented team player; Willing to continually learn and be challenged.
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 the development process.
Pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep 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.