Top Senior Software Engineer Jobs in Washington, DC

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.

In this role, you will drive infrastructure strategy, build APIs for network infrastructure, and improve Kubernetes networking and observability systems.

Own and ship major user-facing product features across search, dossiers, charts, maps, networks, dashboards, and mobile. Partner with design, product management, deployment teams, and users to build fast, intuitive, trustworthy experiences. Develop full-stack software using React and TypeScript alongside Python-based backend systems, while addressing distributed systems scalability, AI-assisted capabilities, latency, resilience, and reliable production deployment.

Own Ditto’s Rust SDK observability strategy and implementation across iOS, Android, desktop, and embedded platforms. Design telemetry, logging, tracing, support bundles, buffering, sampling, and export systems optimized for constrained devices and intermittent connectivity. Improve logging performance, maintain Rust SDK features, and support customers debugging production integrations. The role requires systems-level Rust, FFI, cross-platform SDK development, observability design, strong written communication, and customer empathy.

Design, implement, and optimize cloud and edge software for mission-critical autonomous systems. Process heterogeneous sensor data for real-time state estimation and threat detection, integrate sensors and effectors, build LLM/AI-driven decision systems, and engineer scalable, reliable, fail-safe solutions for tactical and operational missions while collaborating with multidisciplinary teams.

The Senior QA Software Engineer ensures software quality through automated and manual testing, focusing on automation frameworks establishment and enhancing software quality standards.

The Senior Full-Stack Software Engineer will design and develop software products, collaborate with data scientists, and instill development best practices.

Develop, integrate, and field autonomy software for expeditionary unmanned aircraft (V-BAT/X-BAT). Own features from software-in-the-loop to live flight tests, collaborate with aircraft and perception teams, lead technical integration, support field deployments and mission testing, and troubleshoot hardware/software issues.

Lead technical strategy and engineering for autonomy on new platforms (space, maritime, contested logistics). Define architecture, guide development and integration, mentor senior engineers, support testing and deployments, resolve complex hardware/software integration issues, and transition R&D into operational programs.

Develop, integrate, and field autonomy software for launched effects platforms, owning features from design through live flight testing. Drive technical execution, collaborate with autonomy, perception, and vendor teams, support system bring-up and field operations, and implement C2 interoperability and deployment processes. Travel to tests and customer exercises to support mission execution and debugging.

Develop, integrate, and field autonomy capabilities for novel platforms (space, maritime, unmanned helicopters). Own end-to-end integration from software- and hardware-in-the-loop to live tests, partner with platform and cross-functional teams, support on-site testing, debug hardware/software issues, document designs, and improve integration and testing processes.

Lead technical delivery and integration of autonomy software for launched effects, including autopilot integration, multi-agent coordination, and fleet-scale deployments. Collaborate with autonomy, perception, vendors, and customers; lead design, testing, debugging, mission support, documentation, and pre-deployment readiness for disconnected or air-gapped operational environments.

Lead technical delivery and integration of autonomy software for V-BAT and X-BAT, defining flight-autonomy interfaces, integrating payloads and mission autonomy, coordinating cross-team engineering, ensuring mission readiness, supporting flight tests and deployments, mentoring engineers, and improving integration workflows and testing infrastructure.

Lead technical direction and integration for launched-effects autonomy across platforms. Develop and field mission autonomy, multi-agent coordination, and platform interfaces; drive architecture, standards, testing, deployments, and mentor senior engineers while supporting flight tests and operational customers.

Lead technical delivery and integration of autonomy software for new platforms (air, maritime, space). Own end-to-end development, testing, and fielding of autonomy features, mentor teams, drive architecture and ICDs, support live tests, and transition R&D into operational capabilities.

Lead technical direction and architecture for expeditionary autonomy across V-BAT and X-BAT. Drive development, integration, validation, and fielding of mission autonomy, flight-autonomy interfaces, payloads, and multi-agent capabilities. Mentor senior engineers, influence cross-team engineering standards, support deployments and operational readiness, and define long-term strategy and interoperability for defense customers.

Lead the design and development of Windows desktop applications, focusing on architecture, accessibility, and best practices, ensuring quality and performance across releases.

The Senior Software Engineer will enhance Speechify's product experiences by building and optimizing services and SDKs, collaborating with product teams, and improving system efficiency.

Build and maintain scalable full-stack web applications using .NET, React, Next.js, and Azure. Responsibilities include feature delivery, API and microservices development, testing, code reviews, architecture, performance optimization, security, CI/CD support, cloud deployment, and production support. Senior engineers will mentor teammates and influence engineering standards, while early-career engineers receive mentorship and progressively greater ownership.

Design and operate secure, multi-account AWS infrastructure and EKS environments using Terraform. Manage shared developer services, CI/CD pipelines, observability, container platforms, and self-service automation. Support MLOps workloads and agentic AI workflows while collaborating with product teams. Ensure infrastructure and software supply chains meet CMMC Level 2, ATO, NIST, and FIPS requirements.

Design, build, and maintain systems-level Rust software for an AI-powered autonomous drone platform. Integrate AI/ML pipelines, develop networking and protocol components, support autonomy features, and create reliable software for resource-constrained, low-latency environments. Develop and test through simulation while collaborating with ML engineers and contributing across application and systems layers.

Designs and maintains Playwright-based end-to-end automation frameworks for web applications. Writes production-quality TypeScript and JavaScript, develops API testing tools, integrates automated tests into CI/CD pipelines, investigates defects and flaky tests, and promotes quality practices across engineering teams. The role also involves mentoring engineers, evaluating testing tools, and applying LLMs to improve development velocity and code quality.

As a Software Engineer in Frontier AI Infrastructure, you'll design secure systems for the public sector, improve engineering standards, and collaborate with cross-functional teams to meet government requirements. You'll also participate in customer engagements and contribute to the product strategy while ensuring compliance with federal regulations.

Design, build, and maintain scalable CI/CD workflows and GitOps deployments using GitHub Actions, Argo CD, and Kubernetes. Improve developer experience, embed AI tooling into DevOps, enforce GitHub governance, lead incident response, and mentor engineers to enhance reliability and deployment safety.

Leads software quality engineering for healthcare data applications. Develops and executes manual and automated tests, analyzes large datasets and test results, reports defects, creates automation frameworks and scripts, reviews clinical definition manuals, mentors quality engineers, and contributes to Scrum planning, estimation, test strategy, and standardized quality metrics.