Full Stack Software Engineer

Socket.dev; Wayzata (MN); On-site; USD 140,000 - 180,000; Full time

Job summary

Socket.dev in Minnesota is seeking a Senior Full-Stack Software Engineer to join the GenAI Discovery and Prototyping team. You will help deliver a major platform upgrade connecting enterprise data pipelines, LLMs, and rapid prototypes.

This is a true full-stack delivery role, building scalable layers with C# on the backend and React with TypeScript on the frontend. The ideal candidate has a strong engineering foundation, understands LLMs as statistical tools, and has hands-on experience building

Qualifications

• 7+ years of professional software engineering experience in an enterprise or fast-paced product environment.
• Advanced back-end experience designing and developing scalable web services using C#.
• Strong front-end experience building interactive, responsive user interfaces using React and TypeScript (within the Node.js ecosystem).
• Proven production experience building software with LLMs, including direct integration of GenAI models into application workflows or data processing pipelines.
• Cloud Experience: Hands-on experience developing and deploying applications within Microsoft Azure and utilizing Azure DevOps for CI/CD.
• Familiarity with Cloud-Native Design: Understanding of twelve-factor application methodologies, container workflows, and standard application monitoring/logging practices.
• Enterprise Adaptability: Experience working within multi-environment architectures (Dev, QA, Staging, Prod) with complex data governance and firewall constraints.
• Ability to operate independently, troubleshoot across a broad stack, and pivot quickly as prototyping requirements evolve.

Responsibilities

• Full-Stack Development: Design, build, and maintain features across the application stack, utilizing C# for back-end services and React/TypeScript for user-facing interfaces.
• GenAI Orchestration: Connect enterprise data sources and LLMs with application prototypes.
• Build robust workflows for validating, parsing, and structured handling of LLM outputs.
• Modern AI Engineering: Apply modern AI integration concepts, including Model Context Protocol (MCP) and skills-based software integrations.
• Cloud & Environment Collaboration: Deploy code through automated CI/CD pipelines in Microsoft Azure. Contribute to application logging, monitoring, and basic Infrastructure as Code (IaC) templates.
• Enterprise Navigation: Work alongside platform and security teams to troubleshoot applications operating within secure enterprise data environments, firewalls, and access control boundaries.
• Platform Upgrades: Assist in modernizing legacy architectures and migrating workflows toward twelve-factor, cloud-native designs.
• Independent Execution: Troubleshoot complex system bugs and technical blockers with minimal supervision, driving features from discovery to production-ready status.

Skills

C# Backend Development

React & TypeScript

GenAI / LLM integration

Azure CI/CD

Tools

Microsoft Azure

Azure DevOps

Job description

Role Overview

• Clientis seeking a Senior Full-Stack Software Engineer to join the GenAI Discoveryand Prototyping team.
• Thisindividual will help deliver a major platform upgrade that connects enterprisedata pipelines, large language models (LLMs), and rapid application prototypes.
• Thisis a true full-stack delivery role.
• Theengineer will build scalable application layers using C# on the back end andReact with TypeScript on the front end.
• Acore focus of the position will be designing reliable software solutions thatsecurely ingest, validate, process, and return LLM outputs within an enterpriseecosystem.
• Theideal candidate has a strong engineering foundation, understands LLMs asstatistical tools, and has direct, hands-on experience building applicationspowered by generative AI.
• Becausethis team operates in a fast-paced prototyping environment inside a matureenterprise, the engineer must be comfortable navigating secure dataenvironments, collaborating across multiple staging environments, and adaptingquickly as platform requirements evolve.

Key Responsibilities

• Full-StackDevelopment: Design, build, and maintain features across the application stack,utilizing C# for back-end services and React/TypeScript for user-facinginterfaces.
• GenAIOrchestration: Connect enterprise data sources and LLMs with applicationprototypes.
• Buildrobust workflows for validating, parsing, and structured handling of LLMoutputs.
• ModernAI Engineering: Apply modern AI integration concepts, including Model ContextProtocol (MCP) and skills-based software integrations.
• Cloud & Environment Collaboration: Deploy code throughautomated CI/CD pipelines in Microsoft Azure. Contribute to applicationlogging, monitoring, and basic Infrastructure as Code (IaC) templates.
• Enterprise Navigation: Work alongside platform and securityteams to troubleshoot applications operating within secure enterprise dataenvironments, firewalls, and access control boundaries.
• Platform Upgrades: Assist in modernizing legacy architecturesand migrating workflows toward twelve-factor, cloud-native application designs.
• Independent Execution: Troubleshoot complex system bugs andtechnical blockers with minimal daily supervision, driving features fromdiscovery to production-ready status.

Required Qualifications

• 7+years of professional software engineering experience in an enterprise orfast-paced product environment.
• Advancedback-end experience designing and developing scalable web services using C#.
• Strongfront-end experience building interactive, responsive user interfaces usingReact and TypeScript (within the Node.js ecosystem).
• Provenproduction experience building software with LLMs, including direct integrationof GenAI models into application workflows or data processing pipelines.
• Cloud Experience: Hands-on experience developing and deployingapplications within Microsoft Azure and utilizing Azure DevOps for CI/CD.
• Familiarity with Cloud-Native Design: Understanding oftwelve-factor application methodologies, container workflows, and standardapplication monitoring/logging practices.
• Enterprise Adaptability: Experience workingwithin multi-environment architectures (Dev, QA, Staging, Prod) with complexdata governance and firewall constraints.
• Abilityto operate independently, troubleshoot across a broad stack, and pivot quicklyas prototyping requirements evolve.

Preferred Qualifications

• Experienceworking in multi-cloud environments (AWS exposure alongside Azure, includingAWS EKS).
• Previousexperience working with animal nutrition, complex dietary software, orlarge-scale formulation platforms.
• Hands-onexperience modernizing legacy application architectures or supporting majorplatform migrations.
• Familiaritywith enterprise AI security, governance frameworks, and data privacy controls.

Must-Have Skills

• C#Back-End Development
• React& TypeScript Front-End Development
• Hands-onGenAI / LLM Software Integration (Application side, not just prompt design)
• MicrosoftAzure and Azure DevOps CI/CD pipelines