Technical Lead – Solution Architect, AI-Assisted Software Delivery

September 14, 2026 Auto Import

Job Description:

Lead architecture and design of enterprise-scale software solutions
Design and implement scalable cloud-native applications
Provide technical leadership and guidance to Agile development teams
Develop secure, maintainable, and high-performance software solutions
Architect and implement Microservices-based applications and distributed systems
Design and develop RESTful APIs and modern application integrations
Implement CI/CD pipelines and DevSecOps best practices
Manage containerized applications using Docker and Kubernetes
Collaborate with business stakeholders, product owners, architects, and engineering teams
Drive software quality through code reviews, testing standards, and engineering best practices
Support production deployments and troubleshoot complex technical issues
Mentor development teams and promote continuous improvement
Leverage AI-assisted development tools across requirements analysis, solution architecture and design, application development, testing, documentation, code reviews, troubleshooting, and production support

Requirements:

18–20+ years of experience as a Technical Lead, Solution Architect, Technical Architect, or Lead Software Engineer
U.S. Citizen; no dual citizenship
Must be eligible to obtain and maintain a Public Trust Clearance
Experience supporting government, public sector, or large enterprise environments
Strong written and verbal communication skills
Experience leading Agile development teams and enterprise software delivery initiatives
Strong hands-on experience with Python, Java, React.js, Spring Boot, RESTful APIs, Microservices Architecture, AWS, Docker, Kubernetes, CI/CD pipelines, Infrastructure as Code, DevSecOps, Git, and GitHub
Practical experience using approved AI-assisted development tools such as GitHub Copilot, Amazon Q, ChatGPT, Claude, or similar enterprise-approved tools
AI-assisted development experience must be clearly demonstrated in the candidate’s resume
Experience using AI tools throughout the SDLC
Strong experience designing cloud-native enterprise applications
Extensive AWS architecture and development experience
Deep understanding of Microservices patterns and distributed systems
Experience with scalable API design and implementation
Hands-on experience with containerization and orchestration technologies
Experience implementing CI/CD automation and Infrastructure as Code
Strong understanding of DevSecOps practices
Ability to work independently and manage complex technical challenges

Benefits: