Salesforce Developer

Job Title: Senior Salesforce developer

Duration: 3 Months with possible extension

Location: Mclean, VA (Onsite)

Manager Notes:

This is for Product team.

They do have salesforce platform, and they are working on enhancements, integration so development experience is required

MuleSoft or any similar experience including deployment pipeline

The primary skill is salesforce with any of the object-oriented programming experience Java /Python.

Working knowledge or familiarity with AI is required

Active salesforce certification is mandatory

Job Description:

Description:

Must Have Qualifications:

Hands-on salesforce development experience.

Must have a Salesforce Developer Certification.

Working knowledge of development in Java, Cloud, or Python.

Client is seeking a talented and motivated AI-enabled Developer Professional to join our product delivery team.

In this role, the individual will be responsible for the design, development, testing, and implementation of Salesforce enhancements across Service Cloud, Sales Cloud, and Salesforce Experience Cloud.

The role also involves building scalable, resilient microservices using MuleSoft that integrate seamlessly with internal Client systems.

The individual will contribute to improving DevOps processes to increase efficiency and streamline delivery.

You will serve as a key builder for rapid prototypes, MVPs, and experimental web tools, leveraging modern AI coding assistants such as Chat GPT, Claude, and GitHub Copilot, alongside

hands-on Salesforce and MuleSoft development. The role also requires leveraging Java, Unix, and

Python scripting as needed to support the platform.

If you are a confident, self-motivated professional with a passion for learning and collaboration, Client offers an exciting opportunity to grow and make an impact.

Key Responsibilities:

AI-Assisted Engineering (Primary Focus)

Use GitHub Copilot / Copilot Chat (and similar tools) to accelerate:

Code generation, refactoring, and documentation

Unit/integration test generation and improvement

API client generation, data mappings, and boilerplate reduction

Establish and follow best practices for AI-assisted coding, including:

Prompting patterns for reliable outputs (context-first prompts, constraints, examples)

Trust but verify” workflows: validate generated code via tests, linters, and reviews

Secure usage patterns (no secrets in prompts, avoid leaking proprietary code where restricted)

Create reusable prompt playbooks and team standards:

Prompt templates for common tasks (Salesforce triggers, LWC components, Mule flows, Spring controllers, FastAPI endpoints)

Code review checklists specific to AI-generated code (edge cases, auth, error handling, logging)

Improve developer productivity through automation:

IDE workflows, snippets, repo templates, scaffolding, and codegen approaches

CI checks that enforce quality gates (coverage thresholds, static analysis, SAST) Core Development (What You’ll Build)

Develop Salesforce features (Apex, LWC, Flows) and integrations.

Build MuleSoft APIs and integrations (API-led connectivity, DataWeave transformations, policies).

Build microservices in mule but comfortable modifying the ones built using Java (springboot)

Implement integration patterns between Salesforce, MuleSoft, and downstream systems.

Quality, Security, and Delivery:

Write and maintain automated tests (unit, contract, integration).

Ensure secure coding practices (OAuth/JWT, input validation, least privilege, secrets management).

Participate in code reviews and ensure AI-generated code meets engineering standards.

Support CI/CD pipelines and deployment processes.

Required Qualifications (3–5 Years):

3–5 years of professional development experience.

Strong hands-on experience with GitHub Copilot (or equivalent) in real delivery work:

Demonstrated ability to use AI tools to speed up development without sacrificing quality

Salesforce development experience: Apex, LWC, SOQL/SOSL, security model.

MuleSoft experience: Anypoint Studio, DataWeave, API design (RAML/OAS), API Manager.

Strong Java and Python skills; experience building REST APIs and microservices.

Solid Git workflow knowledge and experience working with CI pipelines.

Experience defining team-wide AI coding standards and governance.