Technical Lead specializing in the Microsoft/Azure tech stack

Azure Full Stack Tech Lead AI & Cloud Engineering

• Design, build, and own full-stack applications using .NET Core, modern JavaScript frameworks (Angular/React), and Azure services, ensuring scalability, security, and performance.
• Define and implement application and integration architectures including RESTful APIs, MCP-style integrations, and data pipelines aligned to enterprise standards.
• Lead and mentor the engineering team: drive coding standards, code reviews, test automation, and DevOps practices while remaining a strong individual contributor.
• Manage cloud deployments on Azure (and where needed AWS), including CI/CD using Azure DevOps or GitHub Actions, monitoring, logging, and performance optimization.
• Embed application security and compliance into design and implementation, working with architecture and security teams to meet enterprise governance requirements.
• Collaborate with Product Owner and cross-functional stakeholders to translate product requirements into technical solutions and incremental delivery plans.

• 8 10 years of experience as a lead or senior engineer with hands-on development across front-end, backend, and databases.
• Strong experience with HTML, CSS, JavaScript/TypeScript and frameworks such as Angular or React for building responsive front-end experiences.
• Proficiency in .NET Core, C#, RESTful API design, and microservices or modular monolith patterns for enterprise systems.
• Database skills across SQL Server and at least one NoSQL technology MongoDB or equivalent NoSQL Database platforms, including schema design and performance tuning.
• Usage of Azure services - App Services, Functions, API Management, Storage, Azure SQL, NoSQL DB, messaging, monitoring
• Experience with DevOps workflows using CI/CD pipelines, automated testing, and release management in a structured enterprise SDLC.
• Current experience as a Tech Lead or as an Engineering Manager capacity, driving digital Product initiatives.

AI and modern engineering capabilities

• Strong understanding of LLM concepts and how to interact with them programmatically within application workflows (e.g., chat, agents, RAG, tool calling).
• Hands-on experience using GitHub Copilot Pro in VS Code or Visual Studio for feature development, test generation, refactoring, and lightweight documentation.
• Ability to design and implement AI-native and AI-refactoring approaches: where to embed LLMs, vector databases, orchestration layers, and guardrails in existing .NET/Azure architectures.
• Experience or familiarity with Semantic Kernel, Microsoft.Extensions.AI, and integrating Azure OpenAI or similar providers into production systems.

Desirable:

• Understanding of MCP-based tooling (building and consuming MCP tools/servers in C#) and using them to extend developer workflows and application capabilities.
• Knowledge of vector databases and RAG patterns, and basic awareness of AI cost management considerations (token usage, caching, batching, model choice).

• Experience technically leading software development teams in an enterprise context. Please note this is not a pure project management role.
• Strong problem-solving skills, ownership mindset, and ability to work effectively in hybrid/remote setups across distributed teams.
• Clear and structured communication, with the ability to explain trade-offs and AI/architecture choices to both technical and non-technical stakeholders.
• Commitment to engineering best practices (clean code, testing, documentation where needed) and continuous improvement of team workflows and developer experience.