Sr. Web Application Developer

Primary Responsibilities

• Lead the architecture, design, and development of modern web applications across a diverse technology stack, including .NET/C#, Node.js, and front-end frameworks (React, Angular, Vue).
• Design and implement scalable, cloud-native solutions using microservices and serverless architectures.
• Establish and enforce engineering best practices, coding standards, and architectural patterns across teams.
• Design and implement AI-enabled application features, such as:
  • Integration with LLMs and AI APIs (e.g., Azure OpenAI, AWS Bedrock, or similar platforms)
  • Intelligent search, summarization, recommendation systems, or automation workflows
• Collaborate with stakeholders to identify opportunities where AI can enhance user experience, decision-making, or operational efficiency.
• Ensure responsible and secure use of AI technologies, including data privacy, governance, and model evaluation.
• Serve as a primary technical interface to clients, translating business needs into scalable technical solutions.
• Lead solutioning sessions, architecture discussions, and technical briefings with stakeholders.
• Provide strategic guidance on modern web technologies, cloud adoption, and AI integration.
• Build strong client relationships as a trusted technical advisor.
• Oversee development of secure, high-performance web applications and RESTful APIs.
• Ensure interoperability and cross-platform integration across systems.
• Drive best practices in API design, versioning, and performance optimization.
• Architect and deploy applications in AWS and Azure, leveraging serverless and containerized services.
• Lead CI/CD pipeline implementation and DevSecOps practices.
• Optimize systems for scalability, reliability, and cost efficiency in cloud environments.
• Lead code reviews, architecture reviews, and technical decision-making.
• Foster a culture of innovation, continuous learning, and engineering excellence.
• Ensure applications meet modern security standards, including secure API design and cloud security best practices.
• Implement comprehensive testing strategies and performance monitoring.
• Continuously improve system resilience, scalability, and maintainability.
• Collaborate with UI/UX teams to deliver responsive, accessible, and user-centric applications.
• Drive adoption of modern front-end architecture and performance optimization techniques.
• Stay current with emerging web and AI technologies, evaluating their applicability to client missions.
• Introduce new tools, frameworks, and AI capabilities to improve delivery and innovation.

Basic Qualifications

• Must be able to obtain a Public Trust prior to starting (US Citizenship Required).
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field (or equivalent experience).
• 8+ years of experience in full-stack web application development, including .NET/C# and modern JavaScript frameworks.
• Demonstrated experience working across multiple web technologies beyond .NET (e.g., Node.js, Python, or similar).
• Strong hands-on experience with T-SQL, including writing and optimizing SQL queries, stored procedures, triggers, functions, and other database objects.
• Demonstrated commitment to built-in quality, including developing reliable, maintainable, and well-tested solutions that meet performance, security, and coding standards.
• Able to follow development best practices, conduct code reviews, troubleshoot issues, and ensure deliverables meet quality expectations throughout the development lifecycle.
• Hands-on experience integrating or developing AI/ML capabilities, such as:
  • Working with AI APIs (Azure OpenAI, AWS Bedrock, etc.)
  • Implementing data-driven or intelligent application features
• Experience with AWS and/or Azure cloud platforms, including serverless architectures.
• Deep understanding of web architecture, microservices, and RESTful API design.
• Experience with SQL and NoSQL databases.
• Prior experience in client-facing technical leadership roles within complex or mission-driven environments.
• Strong communication skills with the ability to bridge business needs and technical solutions.
• Knowledge of secure application development and cloud security practices.

Preferred Qualifications

• Certifications in AWS, Azure, or AI/ML-related technologies.
• Experience building or integrating generative AI solutions in production environments.
• Familiarity with Python for AI/ML workflows.
• Experience with DevSecOps, CI/CD pipelines, and automation tools.
• Prior experience in client-facing technical leadership roles within complex or mission-driven environments.