Top Software Engineer Jobs in Washington DC,

Develop and maintain Microsoft Power Platform solutions for CDC mission programs. Responsibilities include designing solution architectures and data models, building Power Apps and Power Automate workflows, configuring Dataverse, modernizing legacy applications, integrating APIs and Azure services, reviewing technical solutions, supporting Agile delivery and testing, troubleshooting defects, documenting deployments, and maintaining production systems. The role also ensures federal security, privacy, governance, and Section 508 accessibility compliance.

Lead company technology vision and strategy, oversee R&D and deployment of software solutions, build and manage a high-performing engineering team, align technology with business goals, and ensure compliance with relevant laws and regulations.

Lead end-to-end design, development, and delivery of full‑stack features; drive architecture and code reviews; coordinate engineering work, write design docs and tests, and participate in Agile ceremonies. Must have blockchain/crypto experience.

Develop, maintain, enhance, and support a mission-critical federal Java application for HUD servicing, accounting, reporting, and compliance. Build full-stack interfaces and REST APIs, optimize SQL and database workflows, troubleshoot production issues, participate in Agile development and releases, support testing and deployments, document procedures, and contribute to modernization and technical debt reduction. The role collaborates with product, QA, database, infrastructure, configuration management, and security teams.

Own and evolve Argo Workflows and Argo Events, make major architectural decisions, and build Pipekit’s enterprise control-plane product. The role includes shaping the roadmap, shipping customer-focused features, engaging with open-source contributors and customers, participating in an on-call rotation, and speaking at cloud-native conferences. Candidates should have strong statically typed programming skills, Kubernetes expertise, production-systems experience, excellent written communication, and a self-directed, customer-focused approach.

Designs, develops, maintains, and improves applications and operating systems on the IBM iSeries platform. Analyzes and resolves technical issues, documents findings, recommends solutions, collaborates with network staff, and leads projects from definition through implementation. The role develops manual and automated procedures to support business processes and ensures reliable, efficient system operation.

Develop and maintain backend services and RESTful APIs using C# and .NET. Design and optimize MySQL schemas and queries, troubleshoot production and staging issues, improve performance and scalability, document architecture, and uphold code quality and security. Collaborate with cross-functional teams in a fully remote environment while contributing to development best practices and continuous improvement.

Own PayBox end to end as a founding-style staff engineer, taking the AI payments product from problem definition through production and iteration. Build payment, peer-to-peer transfer, AI platform, application, and ecosystem integrations. Improve onboarding and UX, make pragmatic architectural decisions, collaborate with Product, and use AI tools while maintaining strong independent technical judgment.

Full‑stack product engineer role with backend emphasis: build scalable Node.js services, develop React + TypeScript UIs (React Router v7), design APIs (tRPC/OpenAPI), optimize PostgreSQL queries and data pipelines, improve observability and infrastructure, write well‑tested code, and contribute to architecture and engineering practices in a fintech product.

Design, architect, develop, test, and support scalable full-stack applications for a data catalog platform. Own features end to end, contribute to technical strategy and roadmaps, ensure operational excellence, collaborate across distributed teams, and mentor engineers. Build multi-tenant systems supporting high data volumes and near-real-time analytics while applying AI-assisted development practices.