Senior Software Development Engineer
CVS Health
- Location
- GA - Work from home
- Work model
- Remote
- Level
- Senior
- Posted
- Aug 13, 2026
Skills
About this role
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position
Summary Designs, develops, and implements digital solutions and systems by applying advanced technical expertise to architect and code software applications, conduct system testing and debugging, collaborate with cross-functional teams, and contribute to the overall technical direction and innovation of digital engineering projects.
Required Qualifications
Minimum 8 years of IT experience, including enterprise application development, integration, and support. Minimum 5 years of hands-on Microsoft Power Platform delivery experience (Power Apps, Power Automate, Power BI, Dataverse) across analysis, design, development, testing, deployment, and hypercare support. Minimum 5 years of experience as a senior/lead Power Platform developer within an enterprise Automation or Center of Excellence (CoE) environment. Deep expertise in Microsoft Power Platform, including Power Apps (Canvas and Model-Driven Apps), Power Automate Cloud Flows, Desktop Flows, Dataverse, Power Pages, and AI Builder. Experience designing and implementing AI-powered and agentic automation solutions using Microsoft Copilot Studio, Power Platform AI capabilities, and Azure AI services. Strong experience integrating Power Platform solutions with Microsoft 365, Dynamics 365, Azure services, REST APIs, and third-party applications. Experience with Power Fx, JavaScript, C#, .NET, and custom connectors. Experience with requirements gathering, process analysis, solution design, development, system testing, and deployment. Strong technical experience architecting and delivering enterprise-scale low-code/no-code solutions. Strong understanding of data modeling, Dataverse architecture, governance, security roles, and environment management. Experience developing and consuming custom APIs and Azure Functions. Experience leading projects end-to-end, including UAT, production deployment, and hypercare support. Effective written and verbal communication skills. Strong problem-solving and analytical skills to understand complex business requirements, define scalable technical solutions, troubleshoot issues, and identify improvements. Demonstrated commitment to continuous learning and adoption of emerging Microsoft technologies. Ability to collaborate effectively with business stakeholders, technical teams, vendors, and leadership. Proficient in analyzing complex enterprise applications, data structures, and system integrations.
Preferred Qualifications
Current Microsoft Power Platform certifications such as: Microsoft Certified: Power Platform Solution Architect Expert Microsoft Certified: Power Platform Developer Associate Microsoft Certified: Power Platform Functional Consultant Associate Hands-on experience with Copilot Studio, AI Builder, and Azure OpenAI integrations. Experience implementing enterprise Power Platform governance, security, licensing optimization, and CoE Starter Kit. Experience building Generative AI and LLM-powered solutions using Microsoft Copilot, Azure AI Foundry, Azure OpenAI, and Power Platform. Experience with DevOps, CI/CD pipelines, source control, solution management, and automated deployments using Azure DevOps or GitHub. Strong understanding of Microsoft Azure services including Logic Apps, Functions, Storage, Key Vault, Service Bus, and API Management. Working knowledge of Windows and Linux environments. Experience with HTML, JavaScript, C#, SQL Server, REST/SOA services, and enterprise integrations. Familiarity with data modeling, data warehousing, data analytics, and process mining tools.