Lead Full Stack Developer

• .Net, C#

We are looking for a Full Stack Development Lead who can provide hands‑on technical leadership for AI‑led software delivery while continuing to contribute to production‑grade microservices development using .NET and C#. This role is expected to guide engineering teams, define delivery guardrails, review architecture and code quality, and ensure responsible use of AI coding assistants across the SDLC.

• Lead the design, development, testing, and delivery of scalable microservices using .NET, C#, APIs, and database‑backed services.
• Provide technical direction to developers on service boundaries, API contracts, resilience patterns, integration design, and containerized deployment approaches.
• Drive AI‑led SDLC adoption across development, test generation, refactoring, debugging, documentation, code review, and onboarding workflows.
• Establish engineering guardrails for AI‑generated code, including code review standards, test coverage, security checks, maintainability expectations, and responsible usage practices.
• Mentor developers on prompt engineering, AI‑assisted development, critical review of generated code, and productivity‑focused engineering practices.
• Partner with product, business, architecture, and delivery stakeholders to convert business outcomes into high‑quality technical delivery plans.
• Own technical risk identification, dependency management, delivery quality, and engineering productivity improvements for the development track.

• Strong hands‑on expertise in .NET, C#, microservices development, APIs, and production‑grade backend engineering.
• Demonstrated experience leading development teams or work streams in complex application delivery programs.
• Deep understanding of microservices architecture, service decomposition, API design, resilience, observability, and deployment patterns.
• Strong database fundamentals including schema design, query optimization, transactions, SQL, and data access performance tuning.
• Practical experience using AI coding assistants such as Claude, Git Hub Copilot, or similar tools in real delivery workflows.
• Ability to define AI‑assisted engineering standards and critically review AI‑generated code for correctness, security, maintainability, and performance.
• Experience with SDET practices, automated testing, quality engineering, secure coding, and CI/CD‑driven delivery.
• Strong communication, mentoring, stakeholder management, and technical decision‑making skills.

• Ability to own technical solutioning, estimation, design reviews, and delivery planning for the development track.
• Experience conducting code reviews, architecture walkthroughs, design validation, and technical quality governance.
• Capability to coach teams on AI‑first development practices while ensuring accountability for human review and engineering judgment.
• Experience defining reusable engineering patterns, reference implementations, development standards, and onboarding playbooks.
• Ability to collaborate with architects and delivery leaders on modernization, cloud readiness, scalability, security, and operational reliability.
• Strong problem‑solving skills with the ability to unblock teams, resolve technical dependencies, and make pragmatic delivery decisions.

• Exposure to Ruby on Rails for hybrid service maintenance or modernization scenarios.
• Experience with cloud‑native engineering, containerization, observability, Dev Sec Ops , and secure deployment pipelines.
• Experience improving engineering productivity through reusable accelerators, automation, AI‑enabled development workflows, and quality dashboards.