Top Software Engineer Jobs in Washington DC,

Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.

Lead the design and delivery of scalable data platform services, guide engineers, and improve engineering practices while collaborating with cross-functional teams.

The Senior Salesforce Developer designs and builds scalable Salesforce solutions focused on CPQ and Billing, collaborates across teams, and drives innovation.

Serve as the technical lead for partner integrations of DNSid: design and build production-grade integrations, run POCs and workshops, produce enablement materials, translate partner requirements into product feedback, and own the path from demo to deployment while collaborating with product, standards, and engineering teams.

The Software Engineering Manager leads a full-stack team to develop SaaS applications for the insurance sector, focusing on architecture, collaboration, and best practices.

Lead the engineering team for product delivery at Runpod, focusing on customer-facing features while managing roadmaps, team growth, quality, and cross-functional collaboration.

Lead design, development, and maintenance of scalable .NET web and Windows applications. Build RESTful APIs, integrate front-end frameworks, collaborate with cross-functional teams, drive architectural decisions, perform code reviews and testing, and support deployments and backlog reduction for the eApp portfolio.

Lead and mentor an engineering team building GovIntel and GovChannel product capabilities. Own technical direction, design and deliver scalable SaaS features, APIs, integrations, and platform reliability. Partner with Product, QA, Cloud Ops, and stakeholders to prioritize work, drive CI/CD and observability practices, lead reviews and incident response, and apply AI-assisted tools to improve development speed and quality.

Lead architecture and implement scalable features for the Risk Cloud platform using Spring Boot/Java and modern back-end tools. Write and review tests, collaborate cross-functionally using Agile, improve front-end performance, and contribute to CI/CD and infrastructure-as-code practices.

Lead the development of an AI-powered platform for senior mental health, building systems for patient experience, and mentoring the engineering team.