.NET Lead Technical Engineer / Architect
New
Based in the United StatesFull-TimeLead
Salary92,250 - 130,000 USD per year
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Job Details
- Required Skills
- AWSJavascriptTypeScriptC#.NETReactCI/CDRESTful APIsMicroservices
Requirements
- Extensive hands-on experience with C#, .NET, API development, and enterprise application architecture.
- Strong expertise in React, JavaScript/TypeScript, and modern frontend development practices.
- Proven experience leading technical design and delivery of large-scale distributed systems.
- Deep understanding of software engineering principles including SOLID, OOP, dependency injection, and design patterns.
- Experience building and integrating RESTful APIs, microservices, and cloud-native solutions.
- Familiarity with AI/LLM-powered development tools and intelligent application use cases.
- Strong DevOps knowledge including CI/CD pipelines, automated testing, and cloud environments (e.g., AWS or similar).
- Ability to balance hands-on coding with architectural leadership and team mentorship.
- Excellent communication and collaboration skills to influence technical direction across teams.
- Experience applying secure coding practices, observability, and performance optimization techniques.
Responsibilities
- Lead the architecture, design, and delivery of .NET and React-based enterprise applications, including AI-enabled solutions.
- Remain hands-on by developing backend services, REST APIs, integration layers, and frontend components.
- Define and enforce engineering standards, coding practices, design patterns, and architecture guardrails.
- Design scalable, secure, and maintainable systems incorporating microservices, event-driven architecture, and modular design principles.
- Collaborate with cross-functional teams to translate business requirements into technical architectures and delivery plans.
- Conduct code and design reviews to ensure performance, security, and scalability standards are met.
- Mentor engineers and promote adoption of modern engineering practices, including AI-assisted development workflows.
- Support DevOps, CI/CD pipelines, cloud deployment strategies, and automated testing frameworks.
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