Senior Salesforce Architect

About Propela Tech

Propela Tech is a healthcare-focused advisory and technology firm that helps organizations streamline operations, unlock their data, and scale more efficiently through custom-built tools. We're a team of technologists, former healthcare operators, and strategic thinkers who understand the real-world complexity of running healthcare businesses-and we build solutions that actually work.

What Matters Most

• Frame the right problem with clients; translate ambiguity into crisp requirements and success
• metrics.
• Design first, then build: choose the simplest architecture that meets the need with clear trade-
• offs.
• Own outcomes end-to-end: architecture → build → launch → operate.
• Communicate clearly: explain options in plain English and make decisions fast.

What We're Looking For

This role reports directly to our Chief Technology Officer, Chris Reynolds.

We're looking for a Senior Salesforce Architect who is a problem-solver first and a coder second. This role combines deep Salesforce platform expertise with AI-augmented development practices-you'll use tools like Claude Code, Cursor, and other agentic AI systems to deliver production-ready solutions 2-3x faster than traditional workflows, while maintaining the judgment and architectural thinking that makes great developers irreplaceable.

You won't just use AI autocomplete. You'll orchestrate AI agents to consistently ship high-quality code, translate ambiguous client requirements into structured technical designs, and own features end-to-end across multiple consulting engagements, primarily in healthcare and regulated industries.

Key Responsibilities

• Lead AI-augmented Salesforce development to deliver secure, scalable solutions across Apex
• (triggers, batch, queueable), LWC, custom data models, and complex REST/SOAP integrations
• Translate ambiguous client requirements into clear technical designs; present solution options
• with defined trade-offs across cost, scalability, timeline, and maintainability•
  Own features end-to-end-from discovery and architecture through development, deployment,
• and post-launch optimization
• Establish CI/CD pipelines and Git-based workflows; enforce testing standards, security best
• practices, and high unit test coverage with meaningful validation logic
• Proactively identify technical risks, performance bottlenecks, and architectural debt; implement
• solutions that improve reliability and long-term platform health
• Push back constructively when requirements are unclear; tie technical decisions directly to
• business outcomes

Technical Requirements

Salesforce Platform

• Expert-level Apex: triggers, batch classes, queueable/schedulable jobs, test classes
• Strong Lightning Web Components (LWC) and/or Aura experience
• Deep understanding of data model design, governor limits, and platform best practices
• Integration experience: REST/SOAP APIs, middleware platforms, event-driven architecture
• SOQL/SOSL optimization and large data volume handling
• Security model proficiency: profiles, permission sets, sharing rules, field-level security

Dev Ops & Tooling

• Git workflows: pull requests, code reviews, branching strategies
• CI/CD for Salesforce:
  Salesforce DX, Azure Dev Ops, Git Hub Actions, or similar
• VS Code with Salesforce Extensions, Developer Console, Workbench
• Data migration tools and strategies:
  Data Loader, external ETL tools
• Strong debugging and troubleshooting across the Salesforce platform

AI-Assisted Development

You must demonstrate practical, production-level experience using AI development tools, not just

autocomplete. Specifically:

• Prompt Engineering:
  Craft detailed, context-rich prompts that produce correct, maintainable
• code. Structure requirements so AI tools can parse them effectively. Iterate when initial outputs
• miss the mark.
• Tool Orchestration:
  Break complex features into AI-friendly tasks. Know when AI output needs
• human review vs. when it can be trusted. Leverage AI for boilerplate, tests, documentation, and
• refactoring.
• Quality Assurance:
  Evaluate AI-generated code for security vulnerabilities, performance issues,
• and governor limit compliance. Ensure AI-produced tests achieve meaningful coverage.
• Recognize hallucinations quickly.
• Requirement Translation:
  …