Senior Software Engineer (FS)

Join Insight as a Senior Software Engineer - Fullstack! As a Senior Software Engineer - Fullstack, you will design and develop cloud-native applications that seamlessly integrate frontend and backend technologies to deliver efficient, scalable, and user-centric solutions. You’ll work across the entire stack to build responsive interfaces and robust APIs, ensuring high performance and an exceptional user experience. In this role, you will leverage modern frontend and backend frameworks alongside Google Cloud Platform (GCP) services to solve diverse business challenges. You’ll collaborate with cross-functional teams and support clients across industries, gaining broad technical exposure and continuously enhancing your skill set in a dynamic, customer-focused environment. Key Duties and Responsibilities: Leadership & Mentorship Mentor, coach, and upskill engineers through pairing, code reviews, and technical guidance to raise team capability and support career growth. Unblock teammates on complex technical problems and guide them toward pragmatic, well-reasoned solutions. Lead larger, more complex projects end to end with high autonomy, owning delivery, quality, and stakeholder communication. Solution Design & Development Design end-to-end solutions, defining functional, non-functional, and security requirements across front-end, back-end, data, and AI layers. Build scalable back-end services and APIs using C#, .NET (ASP.NET Core, Web API), Entity Framework, REST, and SQL Server. Develop responsive, accessible, high-performance front-end applications using TypeScript/JavaScript and modern frameworks (React or Angular). Own solutions from design through deployment and production support, collaborating across teams where needed. AI Engineering (Google Cloud) Design and integrate AI-powered features using Vertex AI and the Gemini API, including prompt design, structured outputs, and function calling. Build retrieval-augmented generation (RAG) and agentic workflows using Vertex AI Agent Builder, Vertex AI Search, Vector Search, and the Agent Development Kit (ADK). Apply GCP AI services such as Document AI, Speech-to-Text, and Vision AI to automate business processes and extract value from unstructured data. Evaluate, ground, and monitor model outputs for accuracy, cost, latency, and responsible AI compliance. Use AI-assisted development tools (e.g., Gemini Code Assist) to accelerate delivery while maintaining code quality and security standards. Quality, Delivery & Operations Enforce engineering standards through automated testing (xUnit/NUnit, Jest), documentation, and rigorous peer code reviews. Build and maintain CI/CD pipelines and cloud deployments on Google Cloud (Cloud Build, Cloud Run, GKE, Artifact Registry), with infrastructure as code where applicable. Implement observability using Cloud Logging, Cloud Monitoring, and alerting to ensure reliability and fast incident…