Description

Key Responsibilities

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Lead the design, development, testing, and delivery of scalable microservices using .NET, C#, APIs, and database-backed services.

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Provide technical direction to developers on service boundaries, API contracts, resilience patterns, integration design, and containerized deployment approaches.

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Drive AI-led SDLC adoption across development, test generation, refactoring, debugging, documentation, code review, and onboarding workflows.

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Establish engineering guardrails for AI-generated code, including code review standards, test coverage, security checks, maintainability expectations, and responsible usage practices.

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Mentor developers on prompt engineering, AI-assisted development, critical review of generated code, and productivity-focused engineering practices.

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Partner with product, business, architecture, and delivery stakeholders to convert business outcomes into high-quality technical delivery plans.

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Own technical risk identification, dependency management, delivery quality, and engineering productivity improvements for the development track.

Required Skills

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Strong hands-on expertise in .NET, C#, microservices development, APIs, and production-grade backend engineering.

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Demonstrated experience leading development teams or workstreams in complex application delivery programs.

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Deep understanding of microservices architecture, service decomposition, API design, resilience, observability, and deployment patterns.

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Strong database fundamentals including schema design, query optimization, transactions, SQL, and data access performance tuning.

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Practical experience using AI coding assistants such as Claude, GitHub Copilot, or similar tools in real delivery workflows.

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Ability to define AI-assisted engineering standards and critically review AI-generated code for correctness, security, maintainability, and performance.

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Experience with SDET practices, automated testing, quality engineering, secure coding, and CI/CD-driven delivery.

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Strong communication, mentoring, stakeholder management, and technical decision-making skills.

Additional Development Lead Skills

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Ability to own technical solutioning, estimation, design reviews, and delivery planning for the development track.

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Experience conducting code reviews, architecture walkthroughs, design validation, and technical quality governance.

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Capability to coach teams on AI-first development practices while ensuring accountability for human review and engineering judgment.

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Experience defining reusable engineering patterns, reference implementations, development standards, and onboarding playbooks.

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Ability to collaborate with architects and delivery leaders on modernization, cloud readiness, scalability, security, and operational reliability.

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Strong problem-solving skills with the ability to unblock teams, resolve technical dependencies, and make pragmatic delivery decisions.

Preferred Skills

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Exposure to Ruby on Rails for hybrid service maintenance or modernization scenarios.

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Experience with cloud-native engineering, containerization, observability, DevSecOps, and secure deployment pipelines.

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Experience improving engineering productivity through reusable accelerators, automation, AI-enabled development workflows, and quality dashboards

Key Skills

Education

Bachelor's degree