Why This Role Stands Out
As a Sr. Salesforce Engineer Lead at Alkaeus, you'll drive innovative solutions on a leading platform, leveraging cutting-edge AI tools to boost productivity and design impactful applications, all within a flexible hybrid work environment. This role is perfect for experienced Salesforce engineers who thrive on technical challenges and want to shape the future of enterprise technology. Embrace this opportunity to grow your expertise and make a significant contribution to a reputable company.
Quick Overview
Job Description
This role is for a Salesforce Engineer with 5-10 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 (e.g., Salesforce Einstein, generative AI, and Copilot tools) to enhance development productivity and solution design.
Core Expectations
- 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 (Flows, Validation Rules, etc.) alongside custom development where appropriate.
- Utilize AI tools (e.g., Salesforce Einstein, Copilot) 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 (e.g., GitHub, Jenkins) for efficient development and deployment processes.
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.
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