> Markdown version of [/jobs/ext/2592895-lead-net-engineer](https://www.wearedevelopers.com/jobs/ext/2592895-lead-net-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead .Net Engineer - **Company:** AgreeYa Solutions, Inc. - **Location:** Los Angeles, CA, United States - **Experience:** Expert - **Salary:** $156,000.0 - **Contract:** Permanent contract - **Skills:** .NET Framework, Artificial Intelligence, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Continuous Delivery, Continuous Integration, Database Design, Machine Learning, Microsoft SQL Server, Systems Development Life Cycle, Software Engineering, Spring Cloud, GitHub Copilot, Backend, Containerization, Kubernetes, Cosmos DB, Code Restructuring, Api Management, Legacy Systems, Microservices - **Published:** August 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=551a423905f5f96a ## About the Role * Experience working in FinTech, banking or financial services * Experience with back-end C#/.NET development * Experience developing and supporting applications in Microsoft Azure * Attending an onsite interview in the West Los Angeles, CA area, * 8+ years of experience in software engineering with a focus on .NET and C#. * Strong proficiency in SQL Server and database design. * Proven experience with Azure migration and building cloud-native applications. * Familiarity with AI code assistants like GitHub Copilot, Claude, or similar tools. * Experience in automated testing, TDD, and CI/CD pipelines. * Ability to work in a fast-paced, agile environment with AI-enhanced workflows. Preferred Skills * Experience with microservices architecture and containerization and container orchestration. * Background in building production grade code, fully automated testing and continuous delivery practices * Knowledge of Azure DevOps and related Azure tools. * Exposure to AI/ML concepts and tools. * Strong ownership mindset, communication skills * Technical lead experience, working with offshore teams are a plus * Familiarity with CNCF projects is a plus. ## Description * Lead the design, development, and deployment of enterprise-grade applications using .NET, C#, and SQL Server. * Architect and execute Azure migration strategies, including re-platforming and modernization of legacy systems. * Build and optimize cloud-native solutions leveraging Azure services (e.g., AKS, Cosmos DB, App Services, Functions). * Operate in an AI driven SDLC environment: * Translate stakeholder conversations into structured specifications using AI copilots. * Collaborate with generative AI to iterate on user flows, interfaces, and architectures. * Pair program with AI tools (e.g., GitHub Copilot, Claude) to write, refactor, and test code in real-time. * Write, test and produce production grade code in financial services without relying on testing by other groups * Implement intelligent testing frameworks that auto-generate test cases, predict bugs, and enable self-healing. * Leverage code assistants and go through large code bases, identify opportunities and make changes. * Write automated tests concurrently with code development to ensure continuous integration and delivery, able to work API testing tool. * Mentor junior engineers and promote best practices in cloud engineering and AI-assisted development. ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)