Top Software Engineer Jobs in Washington DC,

Build high-quality, maintainable frontend software with a small collaborative team. Advise client teams on modern development practices, create scalable applications, apply test-driven development, and continually improve technical skills through ongoing learning.

Work directly with the founder to design and build core product features: integrations that pull license data, automation to file renewals/applications, data cleaning with AI, dashboard and alerting UX, and establish engineering practices for testing, deployments, and security. Term contractor role with potential conversion to full-time based on performance.

Develop and maintain the DrChrono EHR platform across the full software development lifecycle. Responsibilities include requirements gathering and estimation, backend and frontend development, automated testing, deployment, documentation, prototyping, code reviews, mentoring, pair programming, demonstrations, and participation in Agile ceremonies. The role focuses on delivering stable, high-quality software using Python, Django, React, TypeScript, JavaScript, relational databases, and modern engineering practices.

Develop and maintain the ServiceNow platform, building custom applications, workflows, integrations, and ITSM automations. The role troubleshoots technical issues, maintains data model standards, integrates ServiceNow with Salesforce, data warehouses, and third-party systems, and follows SDLC practices. Responsibilities include designing REST and SOAP integrations, scheduled jobs, event notifications, and outbound web services, while mentoring junior developers and recommending platform enhancements.

Develop, deploy, and maintain InterSystems IRIS/Cache applications and complex HL7 interfaces (SDA, CCDA, JSON). Implement CQ Initiator/Responder workflows, support IRIS in Kubernetes (IKO), use adapters (SFTP, HL7, HTTP), troubleshoot integrations, and collaborate across teams.

Lead hands-on development of user-facing Android and iOS applications, taking ownership from design through production release. Build maintainable, well-tested features, optimize performance, debug unfamiliar systems, and manage app-store publishing. Collaborate with product, design, backend, and users in an agile, remote environment. Use AI coding agents responsibly to accelerate implementation, testing, reviews, infrastructure work, and incident investigation.

Build and operate highly performant backend systems powering fraud-detection Identification APIs. Design scalable services for real-time processing, own reliability through SLIs, SLOs, observability, on-call response, and incident follow-up, and conduct capacity planning, load testing, and performance tuning. Partner on integrations, automate operational tasks, maintain production services, and mentor engineers in a globally remote environment.

Build and maintain 3D pipeline integrations, plugins, exporters, and platform connections across DCC tools and SaaS destinations. Own integrations from scoping through deployment, documentation, release, and support. Ensure asset fidelity across formats, materials, textures, scene scaling, and color spaces while troubleshooting complex multi-system pipelines. Collaborate with internal engineering teams, external platform vendors, and customers to resolve integration constraints and extend the shared integration framework.

Build and support consumer-facing full-stack features for an energy-saving platform. Responsibilities include developing TypeScript/React frontend and Python backend functionality, owning critical product flows, collaborating with product and analytics teams, working with cloud and database technologies, implementing UI and API monitoring, and participating in code reviews and agile development processes.

Lead the engineering function and remain hands-on while building an AI-powered freight billing platform. Own architecture, data infrastructure, AI/ML validation, enterprise integrations, security, CI/CD, observability, testing, and scalability. Partner with Product and Data Science to automate invoice validation, discrepancy detection, exception handling, and auditability. Build and mentor distributed engineering teams, establish technical direction, and deliver rapid MVP iterations for enterprise adoption.