Salesforce Developer Junior
DET Team
Mexico City | Hybrid

Associate Member of Technical Staff (AMTS) – Salesforce Engineering
At Salesforce, we are redefining the future of business with AI + Data + CRM. Our mission is to help organizations innovate faster, operate smarter, and deliver exceptional customer experiences—powered by cutting-edge technology and intelligent automation.

Role Overview
We are looking for an AI-first, forward-thinking Associate Member of Technical Staff (AMTS) to build next-generation Salesforce solutions. This role goes beyond traditional development—you will leverage AI to accelerate engineering, improve code quality, and unlock new levels of productivity.
You will work closely with Architects, Engineers, Product Owners, and global stakeholders to design scalable, high-performance systems while embedding AI into the software development lifecycle.

Key Responsibilities
Design and develop scalable solutions on the Salesforce platform
Write clean, efficient code using Apex and Lightning Web Components (LWC)
Leverage AI tools and intelligent agents to enhance engineering productivity, automate workflows, and improve code quality
Actively identify opportunities to embed AI across the SDLC (development, testing, debugging, and optimization)
Participate in code reviews and drive high engineering standards
Translate functional requirements into robust technical solutions
Debug and resolve complex issues across frontend and backend layers
Build and configure Salesforce components (objects, flows, validation rules, reports)
Develop integrations, data migrations, and automation workflows
Ensure performance, scalability, and security of applications
Contribute to CI/CD pipelines and modern DevOps practices

Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.

Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.

Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.

Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.

Required Skills & Experience
2+ years of Salesforce development experience
Strong hands-on experience with Apex, LWC, Aura, and Flows
Solid understanding of Salesforce architecture and data models
Experience with Experience Cloud
Knowledge of integration patterns (REST/SOAP APIs, event-driven architecture)
Understanding of asynchronous processing (Batch, Queueable, Future methods)
Ability to troubleshoot performance issues across layers
Strong understanding of CI/CD, version control, and DevOps practices
Hands-on exposure to AI-assisted development tools or strong understanding of AI/ML concepts
Understanding of secure coding and platform security practices
Strong problem-solving and collaboration skills
Preferred Qualifications
Salesforce certifications or willingness to obtain
Experience with large data volumes and performance optimization
Exposure to data processing or data engineering
Familiarity with design patterns and scalable architecture
Experience working in Agile/Scrum environments
Experience with AI-driven development frameworks or tooling

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.

Why Join Us?
At Salesforce, you won’t just build applications—you’ll help shape the future of AI-driven engineering. This is an opportunity to work at the intersection of enterprise technology and AI innovation, solving real-world problems at scale.