Top Remote Software Engineer Jobs in Washington DC,

Support and enhance Enterprise GIS within the ESRI ecosystem: design, develop, test, document, and release low/no-code applications; gather requirements; manage multiple application projects; integrate systems and troubleshoot production issues; coordinate data conversions and compatibility; evaluate software packages; and create and maintain metadata.

As a Staff Software Engineer, you’ll lead the design and reliability of Duetto's data lakehouse, evolving data systems using Python and AWS, ensuring data quality, and implementing AI-driven solutions.

Lead technical implementation of custom web projects, focusing on WordPress back-end development, while ensuring quality, security, and collaboration with teams.

The Staff Software Engineer will design and develop scalable cloud services, focusing on AI infrastructure, with hands-on system architecture, mentoring, and engineering culture shaping responsibilities.

Work on the Web Platform team to design, build, and scale a new content management system. Contribute to front- and backend services, participate in Agile sprints, make technical decisions, mentor teammates, and help migrate and improve content delivery and cloud infrastructure.

Build and operate the Veeam Data Cloud GOV environment: map systems, write runbooks, define SLIs/SLOs, run incident response, close observability gaps, automate deployments and support fleet management while working across security and compliance constraints.

Design, build, and maintain scalable .NET and Angular web applications across the full stack. Lead technical architecture, implement CI/CD pipelines, execute application and database migrations, write and test clean code, debug production issues, produce technical documentation, and mentor peers while collaborating with product, QA, and cross-functional teams using agile practices.

Maintain and modernize a legacy C#/.NET codebase, design and build new cloud-based applications, write front- and back-end code, add unit/integration tests, review code, troubleshoot issues, and collaborate across teams to improve architecture and reliability.

Provide Splunk SME support within an RPA Center of Excellence: design and configure Splunk solutions, create dashboards and searches to isolate actionable events, analyze logs and indexes, customize monitoring templates, and train product owners and teams on Splunk usage to support operations.

Work on frontend, backend, full-stack, or data/platform engineering to design, build, and operate high-scale systems and AI-enabled user experiences. Responsibilities include building distributed backends, data pipelines, performant UIs, integrating AI features, owning projects end-to-end, and collaborating cross-functionally to deliver production-quality software.