Senior Software Engineer– Salesforce Full Stack Developer

Salesforce Salesforce · Enterprise · Mexico City, Mexico

Senior Software Engineer (SMTS) role focused on designing and developing scalable Salesforce applications, including architecting full stack solutions, API-led integrations, and building AI-powered agents with Agentforce. The role emphasizes leveraging modern AI tools and prompt engineering for development workflows.

What you'd actually do

  1. Lead the design and development of scalable applications on the Salesforce platform
  2. Build and architect full stack solutions using Apex, Lightning Web Components (LWC), Aura, and modern web technologies
  3. Design and implement API-led integrations using MuleSoft and other enterprise integration platforms.
  4. Build and scale AI-powered agents and solutions using Agentforce
  5. Collaborate with architects and stakeholders to define system architecture and technical strategy

Skills

Required

  • 5+ years of experience or 6+ years in software development
  • Strong experience in Salesforce development (Apex, LWC, SOQL, SOSL)
  • Proficiency in object-oriented design, design patterns, and scalable system design
  • Hands-on experience with web technologies (JavaScript, HTML, CSS)
  • Experience designing and consuming REST/SOAP APIs and web services
  • Strong understanding of data modeling, database concepts, and query languages (SOQL/SQL)
  • Experience with testing frameworks, quality engineering practices, and automation
  • Ability to lead initiatives, manage multiple priorities, and deliver in a fast-paced environment
  • Strong communication skills with the ability to influence, mentor, and communicate risks effectively
  • A demonstrated, genuine AI-first approach to engineering — using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
  • Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
  • Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

Nice to have

  • Experience with MuleSoft and API-led architecture
  • Familiarity with Salesforce Data Cloud
  • Experience building AI-powered solutions (e.g., Agentforce)
  • Experience with CI/CD, DevOps tools, and test automation frameworks
  • Salesforce certifications (Platform Administrator Certification, Platform Developer II preferred)
  • Experience with modern frontend frameworks (React, Angular, or similar)
  • Experience working on large-scale enterprise implementations
  • Experience leveraging AI tools (e.g., Cursor, ChatGPT, Claude etc.) in development workflows

What the JD emphasized

  • AI-powered agents
  • Agentforce
  • AI development tools
  • prompt engineering
  • system context

Other signals

  • AI-powered agents
  • Agentforce
  • AI development tools
  • prompt engineering
  • system context for AI