Salesforce Developer

• 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.

Must Have Qualifications: Hands-on salesforce development experience. Must have a Salesforce Developer Certification. Working knowledge of development in Java, Cloud, or Python., * 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.

Compensation: $70.00 - $75.00 per hour. This is the targeted compensation range for this role per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.