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CRM Developer

Job in City of Long Beach, Nassau County, New York, USA
Listing for: GRP SCAN Group
Full Time position
Listed on 2026-10-14
Job specializations:
  • Software Development
    Backend Developer, Software Architect
Salary/Wage Range or Industry Benchmark: 106200 - 153705 USD Yearly USD 106200.00 153705.00 YEAR
Job Description & How to Apply Below
Location: City of Long Beach

Overview

Founded in 1977 as the Senior Care Action Network, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington. SCAN focuses on improving care for older adults and delivering value-driven health services, including Medicare Advantage, integrated care models, primary care, and care for medically and socially complex populations.

The Job

We are seeking a CRM Developer to lead the analysis, architecture, design, development, and enhancement of scalable, secure, and high-performance solutions within Health Plan payer environments. The role requires deep expertise in enterprise CRM solutions supporting Member, Provider, Customer Service, Sales, and Marketing domains. The ideal candidate will have hands-on experience configuring and customizing Microsoft Dynamics 365 (or comparable CRM platforms), developing extensions, plugins, and workflows, and integrating CRM systems with enterprise applications using APIs, middleware, and event-driven architectures.

This role partners closely with IT and business stakeholders to gather and decompose functional requirements, translate them into detailed technical designs, and deliver robust automation, data integration, and interoperability capabilities.

Responsibilities
  • Support large-scale system migrations, modernization initiatives, and process automation efforts while ensuring compliance with healthcare regulations and industry standards.
  • Leverage AI/ML-driven capabilities to automate, optimize, and reengineer complex business workflows, including embedding AI services within enterprise systems.
  • Collaborate with Product Owners, business stakeholders, architects, QA, and infrastructure teams to deliver reliable, high-performance enterprise solutions.
  • Lead and support application testing and release management, including unit testing, integration testing, and UAT for Dynamics 365 CRM and integrated Azure-based solutions.
  • Review and approve deployment packages, validate CI/CD pipeline executions, and ensure successful production releases with minimal disruption.
  • Develop and deliver technical training for end users and support teams; document user guides and training manuals.
  • Stay current with evolving healthcare technology trends, regulatory changes, and industry best practices, recommending innovative solutions to improve system performance and scalability.
  • Analyze business and technical requirements, translate them into detailed technical specifications, and deliver high-quality, scalable solutions.
  • Perform work independently with minimal supervision, demonstrating judgment, accountability, and ownership of outcomes.
Qualifications
  • Bachelor’s Degree required.
  • Relevant certifications preferred (Microsoft Azure AI Engineer Associate, Azure Solutions Architect Expert, Azure AI Fundamentals).
  • 5+ years of related experience with GPT models and NLP technologies.
  • Experience with cloud platforms, especially Microsoft Azure, for at least 2 years.
  • Proven track record of integrating AI solutions into production environments and collaborating with cross-functional teams.
  • Technical expertise in Dynamics 365 CRM (or comparable CRM platforms), C#, .NET, Power Platform, Azure integrations, and API-based architectures.
  • Strong problem solving and communication skills; ability to translate requirements to technical designs and communicate to technical and non-technical stakeholders.
  • Healthcare payer operations knowledge, HIPAA regulatory awareness, and understanding of Member/Provider workflows.
  • AI & automation mindset, with ability to drive process improvements and innovation across enterprise platforms.
  • Ability to diagnose complex production issues and implement reliable, optimized solutions.
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