Software Engineer

Are you ready to help redefine the enterprise software lifecycle by blending solid software engineering with cutting-edge AI? We are looking for a skilled Software Development Engineer to contribute to our transition into an AI-augmented development model. In this role, you will work hands-on to harness agentic AI workflows to modernize our core Vista ERP platform and deliver next-generation features that empower the global construction industry.

Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling, and data analytics, Trimble enables essential industries including construction, geospatial, and transportation. AECO: The Trimble AECO segment provides digital construction solutions that increase precision and productivity for Architecture, Engineering, Construction, and Operations. What Makes This Role Great In this role, you will be a key technical contributor to a strategic shift in how we build software, moving toward an AI-augmented model. You will have the opportunity to implement agentic AI frameworks that directly automate maintenance and reduce technical debt, ensuring our flagship Vista ERP product remains a market leader in the AECO sector.

AI-Driven Maintenance: Implement agentic AI workflows to automate routine maintenance, refactor legacy codebases, and support architectural improvements within the Vista ERP ecosystem. Accelerated Development: Utilize AI agents to generate boilerplate code, documentation, and unit tests, decreasing time-to-market for new feature sets. Full-Stack Engineering: Develop and maintain distributed desktop products, WinForms, .NET Core services in Azure (AKS/Helm), and Blazor web applications with high reliability and security. Architectural Contribution: Assist in modernizing existing application architecture by incorporating AI-driven patterns to keep the platform maintainable and scalable. Technical Quality: Adhere to and enforce team coding standards and AI governance, delivering consistent, high-quality code. Collaborative Problem Solving: Participate in technical whiteboarding sessions and code reviews to solve complex maintenance challenges. DevSecOps & CI/CD: Support quality automation (unit, integration, and security scans) and contribute to cloud deployment pipelines. Peer Support: Collaborate with cross-functional team members and offer guidance to junior developers in core .NET engineering and emerging AI tools. Essential Skills & Experience Experience: 4–6 years of relevant technical experience in software engineering. Technical Execution: Proven track record of delivering complex feature sets and contributing effectively within agile engineering teams. AI/LLM Proficiency: Practical experience using Large Language Models (LLMs), prompt engineering, and agentic workflows. Core Tech Stack: Strong proficiency in C# and .NET. Cloud Infrastructure: Practical experience with Docker, Kubernetes (AKS), and Infrastructure as Code (Terraform, Bicep, or Helm). Testing Excellence: Solid experience with unit testing and mocking frameworks to ensure software quality. Data & Identity: Practical experience with SQL, Entity Framework, REST Web APIs, and Identity concepts (IAM, AuthN/AuthZ). Bonus Points For Legacy Modernization: Experience using AI tools to assist in refactoring legacy monolithic codebases toward microservices. Advanced Tooling: Exposure to Azure DevOps, Azure Cloud portal, and GitHub Copilot/AI coding assistants. Messaging: Familiarity with eventing systems like Kafka or Azure Service Bus. Domain Knowledge: Familiarity with construction industry accounting or project management software. Why You'll Love Working With Us Real-World Impact: Build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide. Collaborative Culture: Work alongside a supportive team of