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Growth Acceleration Partners

Senior Salesforce Engineer – Part-time

Growth Acceleration Partners

. Lead the design, development, and delivery of high-performing, scalable Salesforce solutions .

Posted 11/4/2026part-timeRemoteSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and delivering scalable Salesforce solutions, with a strong focus on custom Apex development, integrations, and adherence to Salesforce security best practices. Proficient in collaborating with cross-functional teams to translate business requirements into technical architectures within an Agile framework.

Highest-signal resume keywords
Salesforce DevelopmentApex ProgrammingLightning Web Components (LWC)Salesforce IntegrationDevOps Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ApexLightning Web Components (LWC)SOQLSOSLJavaScript (ES6+)HTML5CSS3Salesforce Security ModelsREST APIsSOAP APIs
Soft Skills
Strong Communication SkillsCollaborationTechnical Design
Tools & Technologies
Salesforce CLI (SFDX)GitAutomated CI/CD WorkflowsMonitoring ToolsData Warehouses
Industry Keywords
Sales CloudMarketing CloudAgile EnvironmentData Model IntegrityFeature Delivery

Tech Stack

Tools & technologies
CloudJavaScriptSOAP

About the role

Key responsibilities & impact
  • Lead the design, development, and delivery of high-performing, scalable Salesforce solutions
  • Architect, develop, and maintain secure, scalable, high-quality Salesforce applications and custom functionality
  • Own feature delivery end-to-end, from requirements gathering and technical design through release and production monitoring
  • Design and manage integrations connecting Sales Cloud, Marketing Cloud, and enterprise Data Warehouses
  • Collaborate with engineers, product owners, and UI/UX designers to deliver product features and seamless user experiences
  • Translate complex business requirements into technical architectures in an Agile environment
  • Use monitoring tools, logging, and usage analytics to evaluate code health, performance, and platform execution
  • Enforce Salesforce security best practices, data model integrity, sharing rules, and proper order of execution
  • Lead custom Salesforce implementations and deliver applications to production

Requirements

What you’ll need
  • Bachelor’s Degree in Computer Science, Software Engineering, or a related technical field
  • 5+ years of hands-on software development experience within the Salesforce ecosystem
  • Relevant experience integrating Salesforce with non-Salesforce applications
  • Proven track record leading technical implementations and delivering custom Salesforce applications to production
  • Demonstrated expertise in Apex, Lightning Web Components (LWC), and SOQL/SOSL
  • Strong background integrating Salesforce with third-party platforms, Sales Cloud, Marketing Cloud, and enterprise Data Warehouses
  • Hands-on experience with modern DevOps pipelines, version control, and automated Salesforce release management
  • Advanced proficiency in custom Apex development, including Triggers, Asynchronous execution, Batchable, Queueable, and Schedulable Apex
  • Hands-on experience with LWC, JavaScript (ES6+), HTML5, and CSS3
  • Advanced SOQL/SOSL query writing and performance optimization, data modeling, and relationship handling
  • Deep understanding of Salesforce security models, Profiles, Permission Sets, Sharing Rules, Flows, and Order of Execution
  • Experience with Git, Salesforce CLI (SFDX), sandboxes, and automated CI/CD workflows
  • Experience building and maintaining REST/SOAP APIs and data synchronization processes with external systems and Data Warehouses
  • Advanced English proficiency, written and verbal
  • Strong written, verbal, and visual communication skills
  • Official Salesforce Certifications are listed as nice-to-have, not required

Benefits

Comp & perks
  • Remote, integrated engineering teams
  • Education investment
  • Onsite English classes
  • Training in the latest technologies, including AI, data analytics and machine learning
  • Part-time schedule with flexible hours
  • Equal opportunity and diverse, inclusive workplace
  • Culture of belonging and opportunities to contribute and grow