Top Remote Software Engineer Jobs in Washington, DC

Design, build, and operate scalable web applications, APIs, services, and AI-enabled workflows. Use AI tools across the development lifecycle, ensure reliability, performance, and observability, contribute to technical decisions, iterate from user feedback, and own production quality and delivery as part of cross-functional squads.

Senior Software Engineer at Twilio will design, build, and maintain scalable communication systems, collaborate with cross-functional teams, mentor engineers, and contribute to architecture and delivery. Responsibilities include writing high-quality code, improving performance and reliability, shipping product features, and participating in technical planning within a remote-first, inclusive environment.

Lead and coach a software engineering team to design and deliver production-grade reference architectures, sample applications, and reusable implementation patterns. Provide hands-on technical leadership across cloud-native, containerized, and distributed systems; drive architecture and adoption of best practices; partner with platform and infrastructure teams; participate in coding, prototyping, and troubleshooting; manage staffing, prioritization, and delivery planning.

Build and maintain the full-stack Raise product: polished donor-facing UIs and backend systems. Own features end-to-end, ensure scalability, reliability, and performance, review AI-generated code, collaborate with Product and Design, write clean testable code, and support observability and incident resolution.

Build and evolve a large-scale search and reporting platform: design and implement streaming data pipelines, improve search relevancy and indexing, scale systems 10x, control costs, ensure production readiness (testing, monitoring, reliability), support escalations, and collaborate on architecture, code reviews, and hiring.

Design, implement, and own production platform subsystems for an enterprise AI control plane. Deliver production-ready Go services on Kubernetes, ensure reliability, observability, and scalability, mentor engineers, drive design docs and code quality, and contribute to the open-source ToolHive/MCP ecosystem.

Lead architecture and delivery of scalable, resilient distributed web applications and AI/LLM-powered features. Drive technical vision, enforce engineering best practices, mentor engineers, collaborate with product and platform teams, and productionize generative AI capabilities with attention to testing, observability, security, and performance.

Build and maintain infrastructure automation, integrations, and SRE tooling. Develop backend services, infrastructure-as-code, observability, and provisioning for bare metal, VMs, and Kubernetes. Collaborate with hardware, software, and AI teams, drive operational excellence, and provide technical leadership.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Design, build, and maintain software applications; collaborate with engineers, analysts, and stakeholders; resolve bugs and production issues; write scalable, testable code; perform testing and debugging; produce technical documentation; mentor peers; participate in on-call rotation; leverage the team's data ecosystem to inform application design and improvements.

Work on backend and frontend features for a waste-management SaaS: build Java/Spring Boot services, React UI, work with PostgreSQL/PostGIS, debug production, write tests, collaborate with Customer Success, participate in on-call rotation, and adopt AI-assisted development tools.

Lead backend Java development and architecture for enterprise applications. Design and deliver scalable, resilient microservices and APIs, mentor developers, lead technical decisions, support production incidents, and implement CI/CD and cloud-native solutions on AWS.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

Design and build infrastructure services and APIs that manage bare-metal GPU servers and multi-tenant Kubernetes clusters. Implement provisioning workflows, reconciliation loops, and consoles to visualize inventory and provisioning state while ensuring reliability, idempotency, and durable long-running operation handling.

Design and build backend services, REST APIs, and integrations for bank administrators and customers. Apply domain-driven design and microservice architecture, write well-tested, documented code, and participate in system design, code reviews, and agile SCRUM processes. Integrate with third-party services such as Plaid and SendGrid.

Build, test, and maintain scalable full‑stack applications. Work across front-end (React, HTML/CSS/JS) and back-end (Python or C#) services, collaborate on feature design and deployment, and optimize performance, security, and maintainability.

Investigate and resolve complex customer-reported issues in large Java enterprise codebases, perform root-cause analysis, deliver production-ready fixes, use AI-assisted debugging and test generation, contribute to documentation and product enhancements, and participate in on-call pager rotations.

Design, build, test, and maintain scalable software systems; collaborate with cross-functional teams; write high-quality code with automated tests; participate in code reviews and incident response; contribute to product and architectural decisions.

Design, build, and maintain core Android infrastructure, app architecture, developer frameworks, and release tooling. Implement cross-platform UI frameworks, server-driven UI, and scalable libraries using Kotlin, Java, Jetpack Compose, Dagger/Hilt, and GraphQL. Drive testability, performance, accessibility, and production tooling while collaborating with product and client teams to enable engineering velocity at scale.

Senior individual-contributor engineering leader responsible for defining technical and architectural direction for Growth Engineering, modernizing systems, building scalable, highly available consumer-facing platforms, partnering with cross-functional teams, mentoring engineers, and driving experimentation and A/B testing integration.

Design and build scalable, maintainable Android client infrastructure and product experiences using Kotlin and modern Android tooling. Define best practices, write automated tests, improve app architecture (MVVM, unidirectional state), collaborate with product and design, mentor engineers, and lead high-impact projects to improve performance, quality, and developer velocity across the Netflix Android app.

Build and deliver consumer-facing TV application features and core client/UI capabilities. Design, architect, debug, test, and document performant, maintainable code; partner with designers, product, and cross-functional teams to componentize abstractions and improve developer experience and stability for large-scale systems.

Develop, configure, integrate, and sustain Windows-based applications and interfaces. Support API and third-party integrations, deployment, testing, troubleshooting, and operational support to enable interoperability between sensors, communications, security platforms, and government infrastructure.

Build and maintain internal Python platform libraries and tooling to improve developer experience. Drive runtime, dependency, testing, delivery, monitoring, and performance optimization for Python services (including GPU-enabled workloads). Collaborate cross-functionally to define an opinionated SDLC, support on-call rotations, and balance modern practices with risk-aware change. Enable scalable, low-latency distributed systems and provide AI/ML-facing platform capabilities.

Design, build, and operate scalable, resilient distributed systems for Netflix's Open Connect CDN. Develop cloud services, steering algorithms, deployment automation, data pipelines, and operational tooling to optimize quality-of-experience, hardware utilization, and cost efficiency while enabling real-time adaptation and reliable production operations.