Full Stack Software Engineer - Remote or Hybrid in MN or DC

UnitedHealth Group•Bridgeton, MO

1d•$112,700 - $193,200•Hybrid

About The Position

As a Lead Software Engineer on the MCDS (Multi Channel Claim Distribution Platform) team within Optum Technology, you will play a key technical leadership role in architecting, modernizing, and maintaining enterprise-class full-stack solutions across frontend and backend systems. MCDS is Optum’s business-critical claim distribution platform that ingests payer remittance files, consolidates and routes payments and EOBs across print and digital channels, and exposes documents via the Client Access System (CAS) portal. In this role, you will lead key engineering initiatives under CCS 2.0, providing technical vision and direction for architecting and migrating legacy platform components to Azure native applications and REST APIs, orchestrating data workflows using Azure Data Factory (ADF), Databricks notebooks, Azure Service Bus, Azure SQL Managed Instance (SQL MI), and Delta Lake, guiding the CAS UICL to Harmony UI migration, and designing and deploying AI-powered solutions and automations to streamline complex workflows. If you excel in full-stack architecture, technical leadership, untangling complex legacy codebases, and mentoring engineering teams to build cloud-native and AI-driven solutions, we want to hear from you. If you are located in MN or DC, you will have the flexibility to work remotely as you take on some tough challenges. This position follows a hybrid schedule with four in-office days per week.

Requirements

10+ years of professional experience in software solution development
6+ years of experience in front-end web development technologies and framework architectures
6+ years of full-stack engineering experience working across React, Node.js, and .NET
4+ years of experience in Single Page Application (SPA) architecture, front-end build environments, and build automation tools
3+ years of experience configuring and managing Apache Tomcat web servers
3+ years of experience using Git for source code management and collaborative engineering
3+ years of hands-on experience building, migrating, and deploying cloud-native applications on Microsoft Azure
3+ years of experience orchestrating data integration workflows and messaging using Azure Data Factory (ADF), Databricks notebooks, or Azure Service Bus
3+ years of experience working with Azure SQL Managed Instance (SQL MI) and/or Delta Lake data architectures
2+ years of experience designing, developing, or deploying AI-powered solutions, automated tools, or smart workflows within application architectures

Nice To Haves

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field (or equivalent experience)
Technical leadership experience mentoring software engineering teams and setting technical direction across cross-functional agile teams
Experience in healthcare payment processing, remittance files, electronic document composition, and multi-channel delivery platforms
Experience modernizing legacy enterprise systems into Microsoft Azure cloud-native microservices and RESTful API architectures
Experience building complex end-to-end cloud data pipelines combining Azure Data Factory, Databricks, Azure Service Bus messaging, and Delta Lake in enterprise environments
Practical experience leveraging AI-assisted coding tools, prompt engineering, or machine learning capabilities to enhance software engineering workflows
Experience with Quadient document processing or enterprise output management systems
Solid proficiency in automated unit and end-to-end testing frameworks across full-stack systems

Responsibilities

Provide technical leadership in designing, developing, refactoring, and maintaining enterprise full-stack web applications and microservices using React, Node.js, .NET, and Azure native cloud services
Lead and architect cloud migration initiatives under CCS 2.0, transitioning legacy platform components to Azure native applications and RESTful APIs
Orchestrate and manage enterprise data integration workflows, messaging, and pipelines utilizing Azure Data Factory (ADF), Databricks notebooks, and Azure Service Bus
Design, implement, and optimize backend data persistence layers using Azure SQL Managed Instance (SQL MI) and Delta Lake architectures for high-performance claim and document processing
Design, develop, and deploy AI-powered solutions, platform automations, and intelligent tools to address complex business challenges with an emphasis on responsible AI use
Leverage enterprise-approved AI tools to streamline engineering workflows, automate repetitive tasks, and drive continuous development improvement
Evaluate emerging cloud technologies and AI trends to guide solution design, system optimization, and strategic platform innovation
Analyze complex legacy code and data flows to balance feature delivery with platform refactoring, technical debt reduction, and system stabilization
Drive front-end modernization initiatives, including CAS portal service enhancements and UI migration to Harmony UI
Guide, mentor, and collaborate across cross-functional scrum teams (AFF, ADF integration, CAS portal, QE) while maintaining strict security, disaster recovery, and regulatory compliance standards