Sr. Salesforce Developer

Key Responsibilities

Technical Leadership & Architecture

• Own end‑to‑end technical design for major Salesforce initiatives, ensuring scalable, secure, and high‑performance solutions across Service Cloud, FSL, and integrated systems

• Define engineering standards, patterns, and best practices for LWC, APEX, integrations, and DevOps

• Partner with architects to shape multi‑cloud architecture, data models, and integration strategies

Advanced Development & Platform Engineering

• Design, build, and optimize complex Salesforce components using LWC, Aura, APEX classes/triggers, asynchronous processing, and platform events

• Lead development of Agentforce (service/field AI agents), embedding intelligent automation into agent and field workflows

• Architect and implement advanced Service Cloud capabilities including omni‑channel routing, case automation, and custom agent experiences

• Oversee Field Service Lightning (FSL) implementations including scheduling logic, dispatcher console customization, mobile app extensibility, and emergency roadside workflows

Integration & Data Engineering

• Architect and implement integrations using REST/SOAP APIs, Platform Events, Change Data Capture, and middleware (e.g., MuleSoft)

• Ensure data consistency and orchestration across Service Cloud, FSL, and external platforms

• Establish patterns for error handling, monitoring, and high‑volume data processing

Delivery Ownership & Governance

• Lead technical delivery for cross‑functional projects, ensuring quality, timelines, and alignment with business objectives

• Build and maintain scalable release pipelines using Gearset, ensuring smooth integration with Git workflows, automated testing, and quality checks

• Enforce governance standards including security/sharing model, code quality, performance optimization, and compliance with Salesforce limits

Mentorship & Cross‑Functional Collaboration

• Mentor and coach junior and mid‑level developers, fostering a culture of technical excellence

• Translate complex technical concepts into clear guidance for business stakeholders

• Proactively identify platform improvements, emerging capabilities, and opportunities for innovation

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field

• 8+ years of hands‑on Salesforce development experience in enterprise environments

• Demonstrated leadership in large‑scale, multi‑cloud Salesforce implementations

• Deep expertise in:

  • Lightning Web Components (LWC) and/or Aura

  • APEX (classes, triggers, batch/queueable jobs, asynchronous patterns)

  • Service Cloud configuration and customization

  • Field Service Lightning (service territories, scheduling, dispatcher console, mobile app customization)

  • Integration frameworks: REST/SOAP APIs, Platform Events, CDC

  • Salesforce DevOps using Gearset, Git‑based workflows, and automated CI/CD pipelines

• Strong command of Salesforce security/sharing model, data modeling, SOQL/SOSL, and performance optimization

• Proven ability to lead technical delivery, influence architecture, and drive engineering standards

Preferred Qualifications

• Salesforce certifications such as Platform Developer I & II, Service Cloud Consultant, FSL Consultant, Agentforce/Einstein certifications

• Experience designing and deploying Agentforce or AI‑driven digital agent solutions

• Background in insurance, field service, or roadside assistance domains

• Familiarity with middleware platforms (MuleSoft, Boomi) and third‑party integrations (telemetry, dispatch, repair networks)

• Demonstrated leadership in setting technical direction, mentoring teams, and elevating engineering practices

Skills & Attributes

• Exceptional problem‑solving, debugging, and performance‑tuning skills in complex Salesforce environments

• Strong communication skills with the ability to influence technical and non‑technical stakeholders

• Strategic thinker with a hands‑on, delivery‑focused mindset

• Commitment to continuous learning, especially in emerging areas such as AI agents, automation, and large‑scale orchestration