Lead Full-Stack Engineer, Enterprise & Secure Gov Tech

Accenture PLC; Arlington (VA); On-site; USD 158,000 - 203,000; Full time

Job summary

Accenture Federal Services seeks a Full Stack Software Engineering Lead to guide multi-disciplinary teams on secure, analytics-driven projects for U.S. federal programs.

You will shape architecture, design APIs and microservices, and oversee end-to-end software solutions across front-end and back-end layers in controlled environments. The role demands deep technical leadership, experience with data governance, and the ability to work within classified programs, aligning with enterprise standards

Qualifications

• 10+ years of experience with modern programming languages (Python, Kotlin, Java, Go, TypeScript, JavaScript).
• Experience with RDBMS and/or NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Experience with front-end frameworks (Vue, React, Angular).
• Active Top Secret security clearance required.

Responsibilities

• Architect and implement software solutions that integrate data ingestion, transformation, and storage across secure environments.
• Design APIs, microservices, and backend systems.
• Oversee front-end and back-end data visualization and UI/UX considerations.
• Lead data workflows for performance, reliability, and security per government standards.
• Ensure cyber, data governance, and information assurance in all development activities.
• Collaborate with multi-disciplinary engineering teams on Agile projects.

Education

Bachelor's degree in Computer Science, Software Engineering, or related technical field

Tools

Docker

Kubernetes

GitLab

Argo CD

Nexus

Harbor

Job description

Accenture Federal Services seeks a Full Stack Software Engineering Lead to guide multi-disciplinary teams on secure, analytics-driven projects for U.S. federal programs.

You will shape architecture, design APIs and microservices, and oversee end-to-end software solutions across front-end and back-end layers in controlled environments. The role demands deep technical leadership, experience with data governance, and the ability to work within classified programs, aligning with enterprise standards