Lead Software Engineer (C#/.NET, React, AI/LLM)

TL;DR

Lead Software Engineer (C#/.NET, React, AI/LLM): Designing, developing, and maintaining high-quality software applications with an accent on scalable systems and integrating large language models into product capabilities. Focus on building responsive web applications, RESTful APIs, reliable data solutions, and CI/CD workflows while ensuring performance, quality, and security.

Location: Westlake, Texas

Company

Solera is a global data and software services company transforming vehicle lifecycle touchpoints into connected digital experiences.

What you will do

• Build and maintain reliable systems, including integrating large language models into products.
• Develop and maintain web applications using .NET (C#, ASP.NET Core/Framework) and React.
• Implement RESTful APIs and integrate third-party services.
• Develop and optimize database solutions using MS-SQL Server, SQL Server, PostgreSQL, or NoSQL databases.
• Use AI tools (e.g., Copilot) and automation platforms to improve engineering efficiency.
• Own engineering quality through unit/integration testing, code reviews, and CI/CD (e.g., Jenkins).

Requirements

• 6 to 8+ years of software development experience.
• Strong proficiency in C# and .NET (ASP.NET Core/.NET 8+), Web API, and Entity Framework Core.
• Expertise in React.js, TypeScript, and Redux (Next.js is a plus).
• Experience with SQL Server/MS-SQL Server and/or NoSQL databases (e.g., MongoDB, Redis).
• Knowledge of RESTful API development and integration.
• Experience with unit testing and CI/CD; familiarity with Docker and Kubernetes (plus Azure DevOps).

Nice to have

• Hands-on LLM experience (e.g., RAG, tuning) and building AI agents.
• Experience with ElasticSearch, GraphQL, WebSocket, SignalR, microservices, or queues (RabbitMQ, SQS).
• Familiarity with Infrastructure as Code (Terraform, Bicep) and cloud/on-prem data centers (AWS/Azure).
• Experience with GraphQL, WebSocket, SignalR, Blazor/Angular, and complex system architecture.

Culture & Benefits

• Work on product features with cross-functional collaboration across engineering, UX/UI, and product teams.
• Emphasis on code quality through testing, code reviews, and documentation.
• Use AI-driven development tools and automation to enhance engineering efficiency.
• Focus on performance, scalability, security, and maintainable engineering practices.

Hiring process

• Interviews and technical evaluation focused on C#/.NET, React, APIs, data, testing, and CI/CD.
• Discussion of experience with AI/LLM integration and system design/ownership.