What are the responsibilities and job description for the Sr Salesforce Engineer /Lead position at Alphosoft Inc?
Role: Sr Salesforce Engineer /Lead
Location: Phoenix, AZ
Experience: 12 years
Visa: No GC
Introduction
This role is for a Sr Salesforce Engineer /Lead with 12 years of experience, responsible for designing, developing, and maintaining scalable solutions on the Salesforce platform. The engineer will work across application development, integrations, and platform capabilities, while also leveraging AI capabilities to enhance development productivity and solution design.
Responsibilities
- Design and develop scalable solutions using Apex, Lightning, and platform capabilities.
- Build reusable components and enforce consistent design patterns and coding standards.
- Implement and maintain integrations with external systems using REST/SOAP APIs and middleware.
- Apply core platform principles including data modeling, security, sharing model, and OOP concepts.
- Leverage low-code capabilities alongside custom development where appropriate.
- Utilize AI tools to accelerate development, analysis, and solutioning.
- Drive code quality through refactoring, continuous improvement, and adherence to best practices.
- Independently own implementation decisions and deliver with minimal supervision.
- Collaborate in Agile teams, participate in Scrum ceremonies, and contribute to technical discussions.
- Utilize CI/CD tools for efficient development and deployment processes.
Requirements
Required Skills: Agile, Apex, Application Development, Code Refactoring, Artificial Intelligence, Continuous Delivery, Collaboration, Continuous Integration, Continuous Improvement, Design Patterns, Data Flow, Data Modeling, Generative Artificial Intelligence (AI), GitHub, Jenkins, Middleware, Oracle Application Express, SOAP, Productivity, Salesforce.com, Software Design, Supervision, Scrum
What Success Looks Like
- High-quality, maintainable Salesforce solutions aligned with best practices and architectural standards.
- Effective use of AI capabilities to improve developer productivity and solution quality.
- Reliable and scalable integrations with clear data flow and system boundaries.
- Improved development efficiency through reusable components and streamlined processes.
- Strong alignment between business requirements and implemented solutions with minimal rework.