Top Remote C# Jobs in Washington, DC

Lead the design and development of secure, scalable, high-throughput payment platform services. Build payment orchestration, fraud and risk capabilities, multi-provider integrations, and global bill payment products. Contribute hands-on to production code and proofs of concept, establish technical direction, mentor engineers, collaborate cross-functionally, and promote AI tools that improve engineering productivity.

Design, build, and operate enterprise applications, APIs, integrations, and distributed event-driven systems using C#/.NET, React, cloud platforms, and messaging technologies. Integrate business systems, implement resilient architectural patterns, add AI capabilities, and support CI/CD, observability, security, and production troubleshooting. Collaborate with stakeholders and engineers, contribute to technical standards, lead projects when needed, and deliver reliable solutions across engineering, manufacturing, supply chain, and finance functions.

Own and improve Dropbox’s Windows endpoint platform, including provisioning, application delivery, patching, compliance, security configuration, troubleshooting, fleet health, and automation. Build code-managed endpoint operations using Intune, FleetDM, osquery, infrastructure-as-code, and GitOps practices. Lead cross-functional improvements, establish reliable deployment workflows, mentor engineers, review code and designs, and document reusable operational practices.

Deploy production software alongside military operators in restricted and air-gapped environments. Integrate core and simulation platforms with partner C2 systems and databases, write scripts, transform schemas, debug distributed systems, analyze logs, isolate failures, and convert recurring field workarounds into reusable product capabilities. Brief engineers and senior military stakeholders while translating mission needs into technical solutions.

Designs and evolves AWS infrastructure as code using CDK, develops backend software primarily in TypeScript, and applies secure engineering practices for regulated environments. The role contributes to architecture, code reviews, CI/CD pipelines, production support, observability, and on-call operations. It collaborates cross-functionally, builds scalable and reusable systems, supports SOC 2 compliance, and uses AI coding assistants to improve development, testing, and documentation.

Develop and maintain C#/.NET software for electric and gas distribution engineering tools. Implement features, fixes, integrations, tests, and CI/CD automation while configuring enterprise systems for customer needs. Collaborate in Scrum, participate in reviews, reduce technical debt, document processes, and mentor teammates. The role may involve GIS or Enterprise Asset Management integrations and requires strong software development experience in utility or energy infrastructure environments.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Design and evolve the architecture of DraftKings’ regulated prediction-markets exchange. Own the technical roadmap, distributed-system foundations, scalability, reliability, performance, operational health, and resilience testing. Collaborate with product, infrastructure, platform, brokers, market makers, and clearing partners. Contribute hands-on to critical systems, guide design standards, mentor engineers, and implement AI tooling and guardrails for engineering workflows.

Develop scalable test automation frameworks, QA tools, and intelligent testing systems using Playwright, C#, and JavaScript/TypeScript. Integrate automated testing into CI/CD pipelines, build end-to-end, integration, and performance solutions, and apply AI techniques to improve test generation and defect detection. Partner with engineering and QA teams, troubleshoot reliability issues, contribute to test strategy, and mentor colleagues on automation and modern testing practices.

Lead architecture and full-stack development for scalable applications, including interactive dashboards, backend microservices, APIs, data integrations, AI-enabled features, MFT orchestration, and cloud-native DevOps infrastructure. Establish monitoring and operational standards, resolve complex production issues, guide technical strategy, mentor engineers, and collaborate with product leadership on technical roadmaps.

Build and maintain full-stack web applications, interactive dashboards, backend integration services, resilient APIs, and AI-enabled features. Collaborate with engineering, data, product, and DevOps teams to integrate databases, automate deployments, troubleshoot cloud and hybrid environments, and scale enterprise application capabilities. Apply modern frontend, backend, DevOps, data visualization, and continuous delivery practices.

Design, deliver, and operate business-critical distributed systems for Signify Health’s value-based care technology platform. The role requires full-stack development, polyglot programming, scalable distributed-systems expertise, cloud engineering, SQL and relational database knowledge, and strong communication. Preferred experience includes event-driven architectures, AI-assisted development tools, Kafka, APIs, containers, Kubernetes, infrastructure as code, monitoring, CI/CD, and agile methods. Quarterly or as-needed travel is required.

Design, develop, customize and maintain enterprise Sitecore solutions (versions 9/10, SXA, JSS, XM Cloud). Produce technical specs, implement components, test and debug in test and production, support teammates, perform demos to customers, and escalate/resolve issues.

Build, architect, and own moderate-to-complex backend components; lead small teams or projects; provide technical guidance and code reviews; deliver end-to-end backend services focused on AI-enabled customer data insights, onboarding, messaging/calling features, and scalable data management for a growing user base.

Senior .NET Software Engineer responsible for end-to-end software development using Microsoft technologies. Requires extensive experience in SDLC, design principles, technical documentation, web application development with .NET, Agile/SCRUM, Entity Framework, database design, and version control. Familiarity with project tools JIRA, TEMPO, Bitbucket, and Confluence preferred.

Develop and maintain web-based applications using .NET/C#, JavaScript, HTML/CSS, SQL and Oracle/SQL Server. Perform root cause analysis, collaborate with teams for requirements, follow Agile SDLC, present change demonstrations, and use Azure DevOps/Jira for lifecycle management. Implement and maintain Blazor components.

Senior .NET Web App Developer responsible for designing and building .NET web applications, implementing Oracle PL/SQL solutions, using Entity Framework and Blazor, applying design principles, producing technical documentation, performing performance tuning, and collaborating in Scrum/Agile teams with Bitbucket, JIRA, Tempo, and Confluence.

Volunteer Principal Full Stack Engineer to lead and contribute across frontend and backend (React/React Native, Node.js, MongoDB). Own feature development, mentor engineers, collaborate with product/design, ship scalable code, and support CI processes. Must commit 4+ hours weekly and attend a weekly standup; first task includes launching a fundraising campaign.

Volunteer senior developer to design, build, and maintain a cross-platform medical scheduling app (web, iOS, Android). Participate across the full development lifecycle: design, coding, testing, CI, deployments, code reviews, production support, incident management, and platform architecture. Attend weekly standups and commit at least four hours per week.

R&D intern developing and validating compiler features for high-performance computing. Responsibilities include analyzing CPU/GPU performance, reading PTX and LLVM assembly, implementing hardware intrinsics and mathematical algorithms, fixing compiler bugs, creating benchmarks and demos, and writing technical documentation. The role requires strong C++ or C# skills, understanding of memory management and object-oriented programming, and interest in CUDA, OpenMP, GPU architecture, algorithms, and numerical methods.

Lead customer-facing HPC deployments and serve as the escalation point for complex hardware, operating system, application, and compiler issues. Deploy and debug GPU-accelerated Kubernetes clusters across on-premises and cloud environments, using Python, C#/.NET, CUDA, and ROCm. Diagnose issues involving NVIDIA and AMD GPUs, high-speed interconnects, PCIe topology, and driver stacks. Create technical documentation, reproduce customer failures, and collaborate with engineering and R&D on bug reports and product improvements.

Develop compiler and high-performance computing solutions that translate .NET and Java bytecode into optimized CUDA and ROCm code for CPUs and GPUs. Analyze customer algorithms, design parallel implementations, extend compilation infrastructure, build reusable libraries, and optimize throughput and latency. Apply expertise in GPU programming, compiler architecture, mathematics, and software engineering to deliver performance matching or exceeding hand-tuned binaries.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Design, build, and optimize production-grade applications on Azure while contributing to an observability-focused Azure service. Responsibilities include developing cloud-native systems, creating reusable engineering assets, supporting production environments through on-call participation, investigating incidents, improving reliability and performance, and influencing Azure platform engineering through customer insights. The role also involves direct engagement with strategic customers and strengthening technical capabilities across the organization.

Lead development of AI infrastructure for large-scale GPU training and inference. Design workload scheduling, serving, orchestration, resource governance, failover, and multitenant Kubernetes platforms. Build reliable C# and Go services, optimize GPU fleet performance, and drive observability, diagnostics, and production operations. Provide technical leadership, architectural direction, mentoring, and cross-team collaboration across cloud infrastructure, hardware, networking, and AI deployment teams.