NetImpact Strategies is seeking a Senior .NET Developer to join our talented team supporting the development, modernization, and operation of a high-availability, enterprise-scale application in an AWS GovCloud environment. The ideal candidate is a highly experienced, hands-on developer who can take ownership of a complex production codebase, provide technical leadership, and work closely with technical leads, operations teams, and other stakeholders to deliver secure, scalable, resilient, and maintainable solutions. The application is built on a cloud-native microservices architecture consisting of approximately a dozen services and processes millions of messages each month. The technology stack includes .NET 10 / .NET Core, REST APIs, PostgreSQL on AWS RDS, RabbitMQ, AWS SQS, Docker, Kubernetes managed through Rancher, and AWS GovCloud. The environment also makes extensive use of AI-assisted software development tools and AI development frameworks to accelerate engineering while maintaining rigorous standards for code quality, security, and maintainability.

This is a hands-on senior development role requiring strong coding skills, technical ownership, production troubleshooting capabilities, and the ability to work across all layers of a mission-critical enterprise application.

Key Responsibilities

• Serve as a senior, hands-on developer responsible for the design, development, maintenance, and continuous improvement of a large-scale production application
• Take ownership of the application codebase and work closely with the Technical Lead to establish technical direction, engineering standards, and development best practices
• Design, develop, enhance, and maintain microservices and RESTful APIs using C# and .NET 10 / .NET Core
• Develop and support cloud-native applications deployed within AWS GovCloud
• Design and maintain scalable, resilient, and highly available services capable of processing millions of messages per month
• Develop and support event-driven and asynchronous processing solutions leveraging RabbitMQ and AWS SQS
• Design, develop, and optimize data access and persistence solutions using PostgreSQL hosted in AWS RDS
• Develop, deploy, troubleshoot, and maintain containerized applications using Docker and Kubernetes, including Kubernetes environments managed through Rancher
• Support the integration and operation of machine learning capabilities within the application’s microservices architecture
• Utilize AI-assisted development tools, code-generation technologies, AI agents, and AI development frameworks to improve developer productivity and accelerate software delivery
• Review AI-generated code and ensure it meets application architecture, security, maintainability, performance, and coding standards
• Perform code reviews, mentor developers, troubleshoot complex technical issues, and help establish engineering best practices across the development team
• Maintain high standards for code quality and security through automated scanning and static code analysis, including SonarQube
• Manage source code and participate in development and CI/CD workflows using Azure DevOps (ADO)
• Diagnose and resolve application performance, scalability, reliability, messaging, database, and integration issues across the technology stack
• Partner closely with operations and engineering teams to monitor and maintain production application health and availability
• Support production releases, deployments, troubleshooting, and incident resolution
• Participate in occasional after-hours support for planned production releases and critical production incidents, in coordination with the operations team
• Identify opportunities to improve application architecture, performance, resiliency, observability, automation, and developer productivity
• Participate in Agile development activities, technical planning, estimation, design reviews, and continuous improvement initiatives

Required

• Bachelor’s degree or equivalent experience in Computer Science, Engineering, Information Technology, or a related technical discipline
• 8+ years of professional software development experience, including significant experience developing and supporting enterprise-scale production applications
• Expert-level hands-on development experience with C#, .NET Core, and modern .NET (.NET 8/9/10 or similar)
• Strong experience designing and developing RESTful APIs and microservices-based architectures
• Experience developing and operating applications in AWS, preferably AWS GovCloud
• Strong experience with Docker and Kubernetes in production environments
• Experience with Kubernetes management platforms such as Rancher
• Experience developing asynchronous, event-driven, or message-based applications using technologies such as RabbitMQ and AWS SQS
• Strong relational database development experience with PostgreSQL, including database design, query optimization, and performance troubleshooting
• Experience with AWS RDS or comparable managed relational database services
• Strong understanding of distributed systems, high-availability architectures, scalability, resiliency, and production application performance
• Experience supporting high-volume production systems and diagnosing complex issues across application, database, messaging, container, and infrastructure layers
• Demonstrated ability to take technical ownership of a substantial codebase and independently drive complex engineering efforts
• Experience performing code reviews and providing technical guidance and mentorship to other developers
• Experience with AI-assisted development and code-generation tools such as GitHub Copilot, ChatGPT, or comparable AI development technologies
• Ability to effectively use AI tools while applying strong engineering judgment to validate, secure, test, and maintain AI-generated code
• Experience with SonarQube or similar static code analysis and code-quality platforms
• Experience with Azure DevOps (ADO) repositories, source control, CI/CD pipelines, and modern DevSecOps practices
• Strong understanding of secure software development practices for enterprise and Federal environments
• Ability and willingness to provide occasional after-hours support for production releases and critical incidents
• US Citizenship required

Preferred

• Experience developing and supporting applications within AWS GovCloud
• Experience supporting high-volume, mission-critical Federal Government applications
• Experience integrating machine learning models or AI services into production application architectures
• Experience with AI agents, AI development frameworks, and advanced AI-assisted software engineering workflows
• Experience designing and troubleshooting distributed messaging architectures and asynchronous processing at scale
• Experience with application monitoring, logging, observability, and production performance management
• Experience with Infrastructure as Code and automated cloud deployment practices
• Familiarity with Federal security and compliance frameworks such as FISMA, NIST, and FedRAMP
• Experience working within Agile/Scrum and DevSecOps delivery environments
• AWS, Kubernetes, or related cloud/container certifications

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