Web Application Developer

Description

We are looking for a Web Application Developer to serve as a technical leader responsible for designing, developing, and delivering modern web applications and AI-enabled solutions supporting a federal program. This role combines full-stack engineering, cloud architecture, client engagement, and technical leadership.

The ideal candidate will have deep expertise in .NET/C#, modern JavaScript frameworks, cloud-native technologies, and experience integrating AI capabilities into enterprise applications.

Key Responsibilities:

Design, develop, and maintain scalable web applications using .NET/C#, JavaScript frameworks, and cloud technologies.

Lead architecture discussions and provide technical guidance across the development lifecycle.

Develop and integrate RESTful APIs, microservices, and cloud-native solutions.

Implement AI-powered features using generative AI platforms, AI APIs, and intelligent automation capabilities.

Partner with business stakeholders and clients to translate requirements into technical solutions.

Establish engineering standards, conduct code reviews, and promote development best practices.

Architect and support deployments in AWS and/or Azure environments.

Drive CI/CD, DevOps, security, performance, and quality initiatives.

Mentor developers and provide technical leadership across project teams.

Requirements

Core Qualifications:

U.S. Citizenship required.

Bachelor's degree in Computer Science, Information Technology, or a related field; equivalent experience considered.

8+ years of full-stack web application development experience.

Strong experience with .NET/C# and one or more modern JavaScript frameworks such as React, Angular, or Vue.

Experience designing and developing RESTful APIs and microservices-based applications.

Strong SQL development experience, including writing and optimizing queries, stored procedures, functions, and other database objects.

Experience deploying and supporting applications in AWS and/or Azure cloud environments.

Hands-on experience integrating AI/ML capabilities, AI APIs, or generative AI features into business applications.

Understanding of secure software development practices and modern application architecture.

Experience leading technical discussions, mentoring developers, and working directly with business stakeholders or clients.

Strong communication, analytical, and problem-solving skills.

Preferred Qualifications:

Master's degree in a related technical discipline.

Experience with Node.js, Python, or additional backend technologies.

Experience with Azure OpenAI, AWS Bedrock, or similar AI platforms.

Experience building or supporting production generative AI solutions.

Knowledge of NoSQL databases.

Experience with serverless architectures and containerized deployments.

AWS, Azure, AI/ML, or cloud-related certifications.

Experience with DevSecOps, CI/CD automation, and infrastructure-as-code practices.

Prior experience supporting federal, regulated, or mission-driven environments.

Active or previous Public Trust clearance.

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