Senior Full-Stack Software Engineer

Lead developer for an enterprise application development and modernization effort supporting a high-visibility executive-branch client in Washington, DC. You will design, build, containerize and deploy modern web applications end to end, using AI-assisted development to accelerate the full software lifecycle. What you’ll do

• Design, develop, test and maintain full-stack web applications using .NET, JavaScript/TypeScript, Angular and Node.js
• Build and maintain PostgreSQL data models, queries and migrations
• Package applications as OCI-compliant container images and deploy to Kubernetes running on on-premises virtualization (VMware/Hyper-V)
• Automate build, test and release steps in CI/CD pipelines using Python, Bash and PowerShell
• Deploy and troubleshoot applications in Linux and Windows environments, including networking issues (TCP/IP, DNS, load balancing)
• Use approved AI coding assistants across the SDLC (design, code generation, test creation, documentation) with appropriate review and security controls
• Provide technical leadership, code reviews and mentoring; influence architecture and engineering practices
• Work in an Agile/DevOps team and communicate status and risks to Government stakeholders

• Active TS/SCI clearance
• 10+ years of software engineering experience across the full lifecycle (requirements, design, build, test, deploy, support)
• Bachelor’s degree in Computer Science, Information Technology, or related field
• In-depth experience with modern languages and frameworks: .NET, JavaScript, TypeScript, Angular, Node.js; package development and deployment
• In-depth understanding of containerization: Docker, Kubernetes, OCI standards, and PostgreSQL databases
• Experience deploying systems in Linux and/or Windows environments
• Knowledge of on-premises virtualization (VMware, Hyper-V) and/or cloud platforms (AWS, Azure, Google Cloud)
• Understanding of networking concepts (TCP/IP, DNS, load balancing)
• Scripting in Python, Bash and/or PowerShell, including automating CI/CD pipelines

• Significant hands-on experience using AI coding models/assistants in the software development lifecycle Preferred qualifications

• Experience in Agile/DevOps environments
• Active AWS DevOps and/or CompTIA Security+ certification
• Experience in classified or air-gapped development environments