Top Senior Software Engineer Jobs in Washington, DC

The Full Stack Software Engineer develops user-facing features using React and Node, manages data workflows, and collaborates with design and product teams. Responsibilities include shipping product slices and enhancing performance for state government data platforms.

The Lead Systems Software Engineer will manage technical engineering support for NAVSEA, focusing on combat systems and software processes while collaborating across teams and leading project execution.

Serve as the technical lead modernizing mission-critical defense software: deploy and extend agentic modernization platforms, analyze large codebases, design scalable architectures, ensure RMF/NIST-compliant deployments, and deliver production-ready solutions in classified environments.

Design, develop, test, and maintain front-end and back-end components for an enterprise Postgres/Java/React system. Integrate APIs, implement CI/CD and containerized deployments, participate in full SDLC activities, code reviews, architecture sessions, and ensure accessibility and security compliance while collaborating with cross-functional agile teams.

Design, develop, test, and manage full-stack .NET applications; integrate third-party components; improve and automate operations; support large-scale data processing, statistical modeling, and advanced analytics; participate in all SDLC phases; conduct architecture reviews and knowledge transfer.

The Senior Software Engineer will lead technical efforts for DOT's CMS, focusing on Drupal platform engineering, operations, and security compliance, ensuring high-performance and accessible environments.

As a Staff Wireless Software Engineer, you will develop and architect wireless protocol stacks, optimize performance, and lead design implementations for real-time communication systems, collaborating closely with hardware and firmware teams.

Design, build, and maintain blockchain and payments infrastructure; develop scalable microservices and secure RESTful APIs to transfer value across blockchain and banking protocols; integrate with banks and fintech; own system design, testing, deployment, and troubleshooting; ensure reliability, code quality, and strong test coverage while collaborating with product and engineering teams.

As a Senior iOS Engineer, you'll lead engineering decisions, ship production code for the Speechify iOS app, enhance app architecture, and participate in product discussions.

The Software Engineer will manage data collection for AI model training, optimize cloud infrastructure on GCP, and collaborate with scientists to enhance datasets.

Design, build, test, and deploy full-stack web applications and REST APIs using FastAPI and React. Implement and maintain PostgreSQL schemas, containerized deployments with Docker on AWS, write tests, troubleshoot performance/security issues, and collaborate in a trunk-based workflow with code reviews and documentation.

Lead the validation strategy for autonomous vehicle software, mentor team members, analyze autonomous behaviors, and develop testing strategies in this senior engineering role.

The Software Engineer will develop AI-powered cybersecurity products, iterating based on feedback, collaborating with research teams, and engaging with customers to inform product development.

Lead the design and deployment of autonomous AI systems in investment technology, collaborating across teams to enhance business processes and decision-making through AI.

Design, build, and own scalable microservices and secure APIs that transfer value across blockchain and banking protocols. Extend in-house blockchain infrastructure, integrate with banks and cloud services, troubleshoot production issues, document system and testing procedures, and collaborate with product and engineering teams to deliver reliable payment experiences.

Design, build, and operate the core data warehouse, ingestion, orchestration, and cataloging platform. Develop batch and streaming pipelines, ensure data quality, governance, observability, and provide ML data platform capabilities. Lead architecture, improve platform reliability and performance, and collaborate with product, engineering, data science, security, and compliance teams.

Develop and customize Moodle LMS applications and plugins, support APIs and enterprise integrations, troubleshoot software/platform issues, participate in Agile development, implement secure coding and Section 508 accessibility standards, and support DevSecOps and continuous integration for U.S. Coast Guard systems.

Lead frontend architecture and design for high-availability cloud services, drive AI-first engineering practices, mentor engineers, integrate AI-assisted tools, and optimize web performance, observability, and operational efficiency while collaborating with Product and Design.

Join the AI team at Speechify to develop data collection processes, enhance cloud infrastructure, and collaborate on data strategies for next-gen models.

Develop, integrate, test, and maintain secure mission-focused applications in an Agile environment. Support feature delivery, defect resolution, APIs, CI/CD, source control, system integration, documentation, and collaboration with cross-functional teams to deliver software for federal law enforcement and national security missions.

Lead design and delivery of backend and data-driven services: translate product requirements into technical designs, implement and deploy production cloud services, mentor engineers, review code, drive technical decisions, and own the technical excellence and roadmap for your team.

As a Software Engineer on the Mission Dev team, you will deploy software in federal environments, manage integrations, and support mission-critical programs for government agencies.

Design, build, and optimize event-driven, distributed backend systems and APIs in Python for large-scale content metadata extraction and enrichment. Deploy and operate resilient AWS-based pipelines, collaborate with ML teams to integrate models, and ensure system performance, observability, and data integrity.

Designs, develops, and deploys AI-driven, cloud-native applications on Azure. Builds RAG knowledge systems, AI agents, secure APIs, and orchestrated workflows using C#, .NET, Azure services, Docker, and CI/CD. Collaborates with stakeholders, ensures observability and security, supports production incidents, and provides documentation and knowledge transfer.

As a Senior Software Engineer on Substrate, you will design and build managed Kubernetes product offerings, ensuring scale, security, and stability across various environments, while emphasizing automation and operational excellence.