Digital Tech Lead

Role overview

Responsibilities

• Mentor developers, review code, provide architectural direction, and guide contributors across client engagements.
• Own delivery end-to-end, from clarifying requirements through deployment.
• Use AI-assisted development workflows, including prompt design, agent workflows, multi-file refactors, and disciplined human review of generated code.
• Implement user stories against acceptance criteria and participate in estimation, sprint planning, development, testing, research, deployment, and documentation.
• Contribute to front-end and back-end design and architecture decisions.
• Communicate risks, open items, and trade-offs to stakeholders and management; collaborate to improve software delivery.
• Track relevant technology and AI tooling developments and maintain disciplined source control and process documentation.

Required experience and skills

• 8+ years of development team experience with capability across front-end and back-end stacks.
• Experience mentoring developers and serving as a technical reference for a small team.
• In-depth C#/.NET (current LTS) and ASP.NET services knowledge; GraphQL API development; React with TypeScript.
• MongoDB and MongoDB Atlas experience; regular use of Azure DevOps and GitHub.
• Knowledge of design patterns and clean architecture.
• Current use of AI coding assistants as a core delivery practice, including agent workflows, multi-file refactoring, and human review of generated code.
• Strong written and verbal communication, Agile and Kanban experience, and ability to work in mixed-discipline teams with minimal supervision.
• Bachelor's degree in Computer Science or equivalent education, training, and work experience.

Preferred experience

• Working familiarity with Azure services used in the stack, including Storage Accounts, B2C, Key Vault, API Services, and Functions.
• Experience designing end-to-end solutions or products; working with data engineers and cross-discipline contributors.
• Experience evaluating development frameworks and technologies, recommending adoption, and applying software quality assurance methods.
• Experience building consensus across teams; familiarity with Google Cloud or AI-augmented team practices.

Work environment

• The employer describes a flexible work environment; no specific remote, hybrid, or onsite arrangement is stated.

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