Custom Software Engineering Lead
Accenture Federal Services - Chantilly, VA
Posted May 11, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Custom Software Engineering Lead Chantilly, VA 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! Job Description : - Technical Leadership & Architecture: Lead the design and development of robust, scalable, and secure backend systems and event-driven APIs using FastAPI. Define the technical direction and system architecture, balancing short-term deliverables with long-term scalability and maintainability. - Hands-on Development & Code Quality: Serve as a primary contributor to the codebase, leading by example through hands-on development. Conduct thorough code and technical design reviews to ensure high standards for quality, performance, and security are met. - Deploy AI Models: Collaborate with data scientists and ML engineers to integrate, containerize, and deploy AI/ML models (e.g., NLP, recommendation engines, generative AI) into production environments. - Containerization & Orchestration: Engineer containerized applications for deployment on cloud platforms using Kubernetes. - Asynchronous Processing & Distributed Systems: Design
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