Full Stack Developer

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands‑on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

We are seeking a talented and motivated Full Stack Developer to join our team. In this role, you will design and deliver complete applications—from database schema to API layer to the interface a mission user opens every morning. The team supports an established platform application while simultaneously standing up pilot solutions and custom MVPs for emerging requirements. On any given week, you might be extending a Django-based API gateway, building a new React dashboard for an operational workflow, writing migration scripts to bring legacy data into a modern PostgreSQL schema, or wiring up Keycloak authentication for a new service.

This is full stack work in the truest sense. We need engineers who move fluidly between backend logic and frontend polish, who care as much about a clean component hierarchy as they do about a well‑indexed query, and who understand that in classified environments, every design decision carries security implications.

The team deploys across multiple AWS partitions and classification levels. You will work with Terraform for infrastructure, Git Lab for source control and CI/CD, and AI‑assisted development tooling as a standard part of your workflow — not as an experiment, but as an expectation.

• In a team this small, there is nowhere to hide and no room for passive contributors. We need people who take ownership of their code, their commitments, and their mistakes. People who communicate clearly, ask questions early, and push back when something does not make sense.
• Attention to detail is critical. When you are writing applications that operate in classified environments, a missed edge case in an auth flow or a carelessly scoped IAM policy has real consequences. We want engineers who are meticulous by nature, not by mandate.
• Work ethic matters. This is a small team with significant delivery expectations. We need people who are self‑directed, who do not wait to be told what to do next, and who take pride in shipping clean, well‑tested, well‑documented work.
• Familiarity with intelligence community environments and the operational context of DoW mission systems is valuable, though the platform abstracts much of the domain‑specific complexity. What matters more is intellectual curiosity about the problem space and the adaptability to work across unfamiliar domains without needing everything spelled out.

• 5 years of experience as a Full Stack Developer or equivalent experience with any combination of the following:
• Python backend development (Django, FastAPI, or equivalent; async/ASGI; modern Python 3.12+)
• Frontend development with React, Next.js, Vue.js or equivalent (production UIs, not prototypes)
• RESTful API design including BFF patterns and schema validation
• AWS — deploying and operating applications across classified partitions and regions
• Terraform for infrastructure-as-code
• Keycloak, OIDC, SAML, or CAC/PIV authentication integration
• Secure application development for STIG‑hardened, FIPS‑validated environments
• Git Lab CI/CD pipelines and Git-based workflows
• Dev Sec Ops  scan interpretation and remediation (SAST, DAST, SCA, SBOM, container scanning)
• AI‑assisted development tooling in daily practice

• Incorporating generative AI capabilities into applications (RAG pipelines, LLM integration, or embedding‑based search)
• Migrating legacy systems and data sources into…