Backend Engineer

• Design, develop, and deploy RESTful and event-driven APIs
• Implement secure authentication, reliability, and versioning
• Support enterprise integration standards
• Deliver interface development, APIs, integration services, authentication, and system connectivity
• Engineer systems integrations, including APIs, integrations, interface design, ICDs, ETL/ELT pipelines, interface remediation, and integration testing
• Support Databricks Lakehouse architecture, security design, common data model, migration framework, reporting, and analytics
• Provide knowledge transfer through training, SOPs, workshops, shadowing sessions, documentation, and repository management
• Support the USDA’s Enterprise Human Capital Modernization & Transformation initiative

API Developer

• Design, develop, and maintain internal Python web applications using Flask and Streamlit
• Automate report generation, data reconciliation, document assembly, and ticket follow-up workflows
• Apply AI and large language model capabilities to extract, classify, summarize, and draft content for human review
• Use approved AI-assisted development tools while validating generated code before production
• Deliver work in short, demonstrable increments and incorporate stakeholder feedback
• Build and maintain ServiceNow integrations for ticket and request data
• Integrate Asset Manager purchase order and asset records with ServiceNow data
• Develop ticket monitoring and notification tools supporting service-level response and resolution windows
• Produce service-level performance reporting, including monthly close processes
• Ensure data accuracy across procurement, receiving, and asset records
• Generate and parse PDF, Excel, and CSV documents
• Deploy and operate applications in a secure Linux environment
• Maintain separate development and production environments and control production promotions
• Apply DevOps practices, including version-controlled deployments, CI/CD, and automated build, test, and release processes
• Design and test backup and recovery strategies with documented restore procedures
• Maintain deployment and monitoring scripts with verification and rollback steps
• Monitor application health, troubleshoot production issues, and perform root cause analysis
• Write automated tests and apply code quality and secure coding practices aligned with NIST guidance
• Protect sensitive data and ensure human review of AI outputs used for decisions or customer-facing results
• Follow change management practices aligned with ISO/IEC 20000
• Produce runbooks, user guides, and knowledge articles
• Translate operational problems into requirements and working tools
• Brief technical findings to program leadership and non-technical staff

Backend Engineer jobs in District of Columbia

API Developer

Python Developer