Software Engineering Lead

About the Role

• As an Engineering Manager, you will lead the development and operation of modern SaaS solutions while fostering an AI-first engineering culture. You will combine hands-on technical leadership with people management, helping teams deliver high-quality software, adopt AI-enabled engineering practices, and continuously improve development processes and outcomes.

Responsibilities

• Use Claude Code, Codex, GitHub Copilot, or other approved AI coding tools to plan, build, refactor, test, debug, review, and document production software.
• Establish practical guardrails for AI-generated code, including repo-level instructions, review standards, secure coding expectations, automated checks, and clear human accountability.
• Guide ideas from discovery and proof of concept through technical design, implementation, validation, release, and continuous improvement.
• Design and implement web-based SaaS capabilities using C#, .NET, Angular, JavaScript/TypeScript, SQL, and modern web architecture patterns.
• Build automated unit, integration, API, contract, and end-to-end tests where appropriate.
• Improve CI/CD pipelines, branching and merging strategies, release practices, developer workflows, and containerized delivery with Docker and Kubernetes.
• Build secure, resilient, observable Azure services using capabilities such as Key Vault, Application Insights, Service Bus, Application Gateway, Azure SQL, Cosmos DB, and Azure Storage.
• Manage direct reports through coaching, feedback, development planning, goal setting, performance management, and talent development while raising engineering standards through mentoring, design reviews, code reviews, reusable patterns, and documentation.

Requirements

• Software engineering experience including hands-on delivery of complex, production software systems.
• Experience managing direct reports in a software engineering organization, including hiring, coaching, development planning, performance reviews, retention, and performance management.
• Deep practical experience using Claude Code or comparable AI coding agents, with the ability to use AI across planning, implementation, testing, debugging, review, documentation, and refactoring.
• Strong hands-on experience building production web applications with C#, .NET, Angular, JavaScript/TypeScript, APIs, data models, services, user interfaces, and background processing.
• Strong familiarity with Azure, Azure DevOps, Git, CI/CD, automated testing, Docker, Kubernetes, observability, and production operations.
• A track record of mentoring engineers, influencing technical direction, improving engineering practices, and communicating trade-offs clearly across product, engineering, architecture, security, and operations stakeholders.