Top Remote Software Engineer Jobs in Washington, DC

Design and build systems for managing bare-metal infrastructure, focusing on automation, hardware provisioning, and software integration with Linux systems.

We are seeking a Senior Frontend Software Engineer to build advanced web applications using JavaScript and ReactJS, collaborating with a team to enhance user experiences.

The Senior Backend Software Engineer will build intricate backend systems, develop APIs, ensure high availability, and improve application scalability and performance.

Lead and manage software engineering teams, architect scalable systems, and innovate solutions while collaborating with stakeholders across various technology stacks.

Design and implement Wi‑Fi 6 (802.11ax) and 802.11s mesh networking software for enterprise access points. Develop HMAC components, optimize throughput/latency/airtime, integrate on NXP-based Embedded Linux platforms, maintain hostapd/wpa_supplicant/mac80211, debug with packet captures, and collaborate with RF/firmware/QA teams for product releases.

As an Applied R&D Engineer, you will develop backend application software in a Kubernetes environment, focusing on streaming APIs, system design, and code quality.

Build and maintain scalable, high-performance web applications and data-visualization platforms using React, Redux, Vite, and TypeScript. Collaborate with cross-functional teams to design features, write clean code and tests, debug, contribute to APIs, mentor junior engineers, and apply modern development practices including CI/CD and accessibility considerations.

Build and ship first-party risk management features end-to-end: risk registers, risk scoring, control testing, monitoring, and framework integrations. Implement backend services/APIs and React/TypeScript front-end components, collaborate with product/design/QA, and ensure data integrity and test coverage in a compliance-focused SaaS product.

Design, build, deploy, and operate large-scale, highly available distributed systems for Twilio SendGrid. Improve scalability and security, implement reliable components, add monitoring, automate processes, and collaborate with product and engineering to deliver customer-focused features.

Develop, design, and implement code for Azure hyperscale WAN features; gather requirements, estimate and decompose work, participate in on-call DRI duties, monitor reliability and performance, and troubleshoot large-scale distributed systems.

Design, build, and own reliable, secure, and performant production systems for clinical workflows. Make high-stakes technical decisions, improve code and designs via reviews, collaborate with product/design/clinical experts, debug and harden complex systems, and help shape technical and architectural direction at senior levels.

Design, build, test, deploy, and support scalable full‑stack applications across web, mobile, backend, cloud, automation, and AI use cases. Lead technical discovery, define architecture and implementation plans, implement CI/CD and DevOps practices, integrate AI capabilities, standardize QA and testing, debug and resolve complex issues, and collaborate with stakeholders to influence platform design and roadmaps.

As a Staff Full Stack Engineer, you will lead complex projects for the lending platform, mentor engineers, and drive system optimization while collaborating with cross-functional teams.

Design and build scalable, fault-tolerant backend and API systems using AWS (S3, DynamoDB, Lambda, API Gateway), Spring Boot, and Kafka. Develop RESTful services, support asynchronous processing, CI/CD pipelines, microservices and observability. Contribute to large-scale platform and tech-enablement initiatives and collaborate across teams.

Build and maintain developer platform tooling that ensures SIL-4 safety compliance: automation for certification evidence, CI/CD improvements, Bazel build maintenance, lightweight web dashboards, developer workflow automation, monitoring, and on-call support.

Lead full‑stack development of microservices-based case management and workflow automation for DoD systems. Build REST APIs, responsive front ends, CI/CD pipelines, and cloud IL2–IL5 deployments while ensuring DISA STIG/RMF compliance, data protection, performance optimization, automated testing, Agile delivery, documentation, mentoring, and Tier 3 support during critical incidents.

Build and maintain scalable Golang microservices powering eligibility, billing, and client APIs. Automate operational workflows, ensure data accuracy and traceability, and deliver self-service tools for finance and operations. Collaborate with data and AI teams to apply AI for validation and anomaly detection. Support cloud deployments and integrate event-driven architectures for reliable data exchange.

Design, build, and scale backend systems and APIs for Twilio Segment CDP. Collaborate with product, design, and engineering to balance performance and architecture, troubleshoot reliability, participate in on-call rotation, and drive system-level improvements.

Join the Consumer Technology team to develop, maintain, and troubleshoot applications and test tools. Perform routine automation, white-box testing, code reviews, monitor automated processes, estimate tasks, communicate with product owners and users, and recommend improvements. Assist in training others and follow departmental methodologies.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

The Cloud Software Engineer will design and operate distributed systems for ClickHouse's Observability platform, ensuring reliability and efficiency while working with various engineering and infrastructure teams.

Develop and maintain ClickHouse Cloud interfaces and dashboards, collaborating with multi-disciplinary teams to enhance user experience and system reliability.

Develop core backend components for a blockchain network, focusing on networking, reliability, scalability, and high-quality software practices.

Design and develop full-stack applications for controlling autonomous construction robots, including backend services and front-end interfaces. Collaborate in rapid deployment cycles.

The Software Engineer will manage data collection, operate cloud infrastructure, and collaborate with scientists to enhance AI models at Speechify.