Junior Salesforce Developer

This is a remote position.

Junior Salesforce Developer - Remote Job, 1+ Year Experience

Annual Income: $65K - $77K

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.

Requirements

• Perform and maintain overall Salesforce-related administration, platform customizations, configurations, declarative development, enhancements, end-user support, and Salesforce Quarterly updates.
  

• Execute the day-to-day progression and documentation of projects implemented to achieve operational efficiency goals considering Salesforce Governor Limitations.
  

• Create Roles, Permission sets, Profiles, Public groups, Custom Objects, Custom fields, Triggers, Schedule classes, Batch classes, and Apex Test classes, Workflow Rules, Approval Processes, and Debug Logs.
  

• Write Batch and Schedule apex classes to handle large data sets and clean-up of data.
  

• Deploy the developed code from one sandbox to another sandbox using Change Set by creating Inbound and Outbound change sets.
  

• Work with a Business Analyst and gather the business requirements before developing the application.
  

• Integration with external systems using SOAP API and REST API as a call-in service or a call-out service.
  

• Work on the customization part that is with the Apex Coding in terms of writing Apex classes, Triggers, Batch Classes, and Schedule Classes and also involved in Front End UI using the Visual Force pages.
  

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.

The 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.