Sr . Salesforce Full Stack Developer

eSolutionsFirst LLC

Plano, TX, United States

3 months ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Salesforce Object Search Language (SOSL) Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Automation of Tests Cloud Computing Software Quality Code Review Continuous Integration DevOps Python (Programming Language) Anypoint Studio

+11 more

Salesforce.Com Secure Coding Apex Code GitHub Copilot Prompt Engineering Salesforce Object Query Language (SOQL) Dataweave Restful APIs GPT Mulesoft Microservices

Job description

We are seeking an AI-enabled Developer with 3-5 years of experience in Salesforce, MuleSoft, Java, and Python development.
The role involves designing, developing, testing, and implementing enhancements across Salesforce Service Cloud, Sales Cloud, and Experience Cloud, while building scalable MuleSoft APIs and microservices integrations.
The candidate will leverage AI coding assistants such as GitHub Copilot, ChatGPT, and Claude to accelerate development, automate testing, improve code quality, and enhance developer productivity. Responsibilities include developing Salesforce components (Apex, LWC, Flows), MuleSoft integrations, REST APIs, and supporting CI/CD and DevOps processes.

Requirements

Hands-on salesforce development experience.
Must have a Salesforce Developer Certification.
Working knowledge of development in Java, Cloud, or Python., * Salesforce development: Apex, LWC, SOQL/SOSL, security model
MuleSoft: Anypoint Studio, DataWeave, API-led connectivity
Strong Java & Python programming
Experience with GitHub Copilot or AI-assisted coding tools
REST APIs, microservices, CI/CD pipelines
Secure coding practices, testing, and code reviews
Knowledge of AI coding governance, prompt engineering, and automation best practices

The ideal candidate is self-motivated, collaborative, and passionate about learning emerging AI-assisted engineering practices.