Full-Stack Developer

Infodash

Full-Stack Developer designing end-to-end solutions for Infodash, an intranet and extranet platform built for the legal industry. Involves backend architecture, React development, and AI-powered features.

Posted 5/22/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudJavaScriptMicroservices.NETNext.jsNode.jsReactSQLTypeScript

About the role

Key responsibilities & impact

Design, develop, and implement end-to-end SharePoint-based and web solutions, including front-end components, backend services, APIs, and workflows tailored to client needs.
Design, develop, and own backend services, REST APIs, microservices, and data access layers using C#/.NET, Node.js, Azure Functions, and Azure App Services.
Architect scalable, secure, and high-performance backend systems including database design, caching strategies, message queues, and background job processing.
Architect and build modern, responsive user interfaces using React, ReactJS, NextJS, TypeScript, and SPFx, including reusable component libraries, state management patterns, and performance-optimized rendering to deliver exceptional user experiences.
Design, build, and integrate AI-powered features into Infodash products, including conversational assistants, intelligent search, summarization, and data-driven insights.
Develop solutions leveraging large language models (LLMs) and AI services (e.g., Azure OpenAI, embeddings, vector search) to enhance user workflows and decision-making.
Implement Retrieval-Augmented Generation (RAG) patterns by combining structured data, documents, and search indexes with LLMs.
Collaborate with architects and product leaders to translate AI use cases into secure, scalable production solutions.
Ensure responsible AI practices, including security, privacy, data access controls, and performance monitoring.
Build and maintain AI agent workflows, prompt engineering pipelines, and evaluation frameworks to continuously improve AI feature quality and reliability.
Design and implement backend infrastructure for AI features, including API orchestration layers, token management, streaming responses, and cost optimization strategies.
Build and manage seamless integrations between Infodash, SharePoint, Microsoft Teams, Microsoft Graph, and external platforms such as financial systems, directories, legal systems, and other third-party data sources.
Design and implement solutions to aggregate, transform, and present data from multiple sources (e.g., financial, directory, and client/matter systems) using Azure SQL, Azure Data Factory, and other data services.
Optimize performance across the full stack, troubleshoot complex technical issues, and ensure reliable, secure operation of all solutions and integrations.
Support application deployment, configuration, and monitoring using Azure-based tools and services, with an emphasis on scalability, security, and maintainability.
Work closely with project teams, architects, and client stakeholders to translate business requirements into technical solutions aligned with organizational goals.
Maintain high standards of code quality, documentation, testing, and version control.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent professional experience).
5+ years of experience in SharePoint and web application development, including both front-end and back-end solutions.
Strong proficiency in React (including hooks, context, and component architecture), TypeScript, JavaScript, and ReactJS, with experience building complex, production-grade front-end applications.
Demonstrated experience designing and developing backend services, REST APIs, microservices, and integrations using C#/.NET, Node.js, Azure, and Microsoft 365 technologies.
Solid understanding of SharePoint Online and on-premises architecture, customization, and development.
Experience with Microsoft Power Platform, including Power Automate and Power Apps.
Strong knowledge of REST APIs, Microsoft Graph, authentication/authorization, and secure integration patterns.
Experience with Azure services such as Azure App Services, Azure Functions, Azure Cognitive Search, Azure SQL, Azure Data Factory, and cloud-based application deployment.
Hands-on experience with AI/ML technologies, including LLM integration (e.g., Azure OpenAI, GPT-4), prompt engineering, RAG architectures, vector databases, and embedding models.
Familiarity with AI agent frameworks is a strong plus.
Ability to write clean, efficient, scalable, and maintainable code across the full stack.
Strong problem-solving skills and attention to detail, with a focus on delivering user-centric and business-driven solutions.
Excellent communication and teamwork skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
Microsoft certifications in SharePoint, Azure, or related technologies are highly desirable.
Experience in the legal sector or professional services is a plus, particularly working with client, matter, financial, and document management systems.
Familiarity with integrating and managing data from legal and enterprise systems, including financial, directory, and document management platforms.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

C#.NETNode.jsReactTypeScriptREST APIsmicroservicesAzure FunctionsAzure SQLAI/ML technologies

Soft Skills

problem-solvingattention to detailcommunicationteamworkcollaboration

Certifications

Microsoft certifications in SharePointMicrosoft certifications in Azure