Accenture
Full Stack Engineer
$84K–$196K
Washington, DC +1 · Full-time · Posted Sep 16, 2026
- Location
- Washington, DC
Washington, District of Columbia, United States - Experience
- Professional engineering experience required; no specific number of years stated. Scope may vary with experience.
- Education
- Bachelor's degree in Computer Science, Engineering, Information Systems, Human-Computer Interaction, or equivalent practical experience is a bonus.
- Visa sponsorship
- U.S. citizenship required. Applicants must have U.S. work authorization that does not now or in the future require visa sponsorship.
About the job
Build and maintain accessible, responsive web and mobile products for federal clients, integrating front-end experiences with APIs and back-end services.
What you'll do
- Develop production-ready features, reusable components, and design-system patterns from requirements, designs, prototypes, and user feedback.
- Integrate front-end applications with APIs, services, data sources, and back-end capabilities; support testing, reviews, CI/CD, debugging, and releases.
- Apply accessibility, Section 508, security, and performance practices, and use approved AI-assisted tools in engineering workflows.
What they ask for
- Professional experience in full-stack, web, mobile, or product engineering, or equivalent practical experience.
- Hands-on JavaScript or TypeScript experience and a modern framework such as React, Angular, Vue, Next.js, or comparable technology.
- Hands-on back-end development experience with Node.js, Python, Java, serverless technologies, or other relevant technologies.
- U.S. citizenship required.
Nice to have
- Experience with design systems, accessibility standards, Section 508, WCAG, or accessible testing tools.
- Experience with cloud platforms, containers, serverless, performance optimization, observability, CI/CD, automated UI testing, or federal delivery.
Pay
$83,600 — $196,000 USD base salary
Tools
JavaScript, TypeScript, React, Angular, Vue, Next.js, Node.js, Python
AI focus
Use AFS-approved AI-assisted engineering tools and workflows to accelerate development, testing, documentation, and problem solving, validating outputs and maintaining engineering quality.
Model-written summary · the original posting is authoritative