Top Remote C# Jobs in Washington, DC

Design and optimize networking infrastructure for Azure AI supercomputing clusters. Develop RDMA communication libraries, transport protocols, distributed systems, observability tools, and performance optimizations. Analyze latency, throughput, congestion, scalability, and fault tolerance across large GPU and accelerator environments. Lead technical architecture, write design specifications, resolve complex production networking challenges, and collaborate with hardware, silicon, AI framework, and infrastructure teams.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Designs, develops, deploys, and sustains Azure infrastructure for AI training and inference workloads. Responsibilities include coding, hardware and software integration, distributed systems, networking, GPU and cluster design, performance optimization, debugging, automation, test-driven engineering, documentation, partner collaboration, and on-call incident response. The role drives scalable, reliable infrastructure and mentors engineers while improving quality, maintainability, and customer outcomes.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.

Lead the architecture, development, testing, and deployment of hyperscale distributed storage systems optimized for AI and machine learning workloads. Drive innovations in scalability, performance, security, durability, and efficiency while collaborating with AI researchers and cloud infrastructure teams. Mentor engineers, guide technical strategy, and help shape Azure Blob Storage into an AI-native platform supporting zettabyte-scale storage.

Develops and supports secure full-stack applications and integrations across Microsoft Dynamics 365, Business Central, Power Platform, and Azure. Responsibilities include building C#/.NET APIs and services, creating React-based web experiences, implementing authentication and cloud security, troubleshooting production systems, and managing CI/CD through GitHub or Azure DevOps. The role partners with technical and business stakeholders to translate requirements into maintainable solutions, resolve defects, and improve platform reliability.

Leads and mentors software engineers while designing, architecting, developing, and delivering scalable web applications. Owns technical solutions from requirements through implementation, conducts code reviews, resolves complex issues, and enforces quality, security, and performance standards. Collaborates with product, architecture, and QA teams on Agile delivery, release management, and DevOps practices. Uses cloud platforms, CI/CD, and modern frontend and backend technologies to build secure software, potentially within regulated medical-device environments.

Develop, test, troubleshoot, and support high-volume software applications in an Agile environment. Collaborate with architects, product teams, customers, and engineers throughout the software development lifecycle. Participate in design and code reviews, automated testing, production monitoring, security and privacy practices, and root-cause analysis. Use approved AI-assisted development tools responsibly across coding, testing, debugging, documentation, and delivery while maintaining accountability for software quality, reliability, performance, and maintainability.

Leads hands-on Appian application development across design, coding, testing, deployment, maintenance, production support, and incident triage. Serves as the senior developer on an Agile team, coordinating with product owners, business analysts, UX, and QA. Produces architecture and technical documentation, guides integrations and security modeling, oversees development tasks, performs peer reviews, and supports compliance, risk management, and continuous Appian platform improvement.

Design and develop backend components for enterprise payroll tax, financial, payment processing, and compliance applications. Build scalable RESTful APIs with C# and .NET, optimize Microsoft SQL Server databases, integrate financial systems with CRM platforms and state tax portals, implement secure authentication, automate high-volume processing, modernize legacy modules, and ensure auditability, reliability, and regulatory compliance.

Design, build, and maintain production-grade .NET web applications and APIs on Azure. Own full-stack delivery from data models and SQL to front-end components, CI/CD, testing, and architecture. Collaborate with product and delivery teams, participate in code reviews, and ensure secure, observable, well-tested services.

Designs and builds highly scalable, fault-tolerant Azure compute services, microservices, REST APIs, billing pipelines, and distributed systems. Responsibilities include improving availability, security, scalability, performance, disaster recovery, and compute utilization; using telemetry and data-driven insights; developing cloud-native solutions with containers, NoSQL, and Big Data technologies; and leveraging AI-assisted development in an Agile environment.

Design and lead development of high-performance networking infrastructure for large-scale AI training and inference in Azure. Architect low-latency, low-jitter communication frameworks, optimize distributed systems, benchmark scalability, resolve complex networking issues, and improve reliability, observability, and performance. Mentor engineers, create technical designs, manage dependencies, and participate in on-call operations for critical services.

Leads the design, implementation, optimization, and support of highly scalable Azure Storage services. Responsibilities include end-to-end performance testing, benchmarking, automation, profiling, bottleneck and root-cause analysis across compute, storage, and networking layers, KPI definition, scaling recommendations, and operational incident response. The role collaborates across teams, drives project and release plans, supports reliable and secure services, and mentors engineers while participating in on-call responsibilities.

Build and own scalable full-stack cloud-native services and web frontends on AWS for healthcare imaging workflows. Shape architecture and technical direction, implement automated testing, CI/CD, observability, and security, and ensure compliance with HL7, DICOM, and regulatory requirements. Collaborate with Product, UX, and Clinical teams while mentoring developers and supporting reliable production software.

Designs, develops, tests, deploys, monitors, and operates large-scale distributed cloud services for Azure Arc. Builds software across agents, Kubernetes environments, and globally distributed Azure services using languages such as C# and Go. Responsibilities include automation, debugging, performance optimization, reliability improvements, telemetry, live-site operations, and cross-team collaboration. The role requires participation across the full software development lifecycle and ownership of features from design through production support.

Leads architecture and development of Azure Storage table, metadata, and indexing systems at massive cloud scale. Designs distributed-system primitives for partitioning, indexing, transactions, consistency, replication, caching, and high-performance data access. Drives architectural decisions, prototypes innovations through production, and improves performance, scalability, reliability, and cost efficiency. Requires deep expertise in distributed storage, databases, or large-scale systems.

Develops and supports customer-specific technical solutions for Jenzabar customers. Responsibilities include defining requirements, scoping solutions, programming, integrations, system updates, troubleshooting customizations, preparing statements of work, and communicating technical solutions to non-technical users. Collaborates with customers and internal developers across multiple projects.

Develop custom applications, integrations, and system updates for Jenzabar customers using C#, .NET, XML, SQL, REST APIs, and Boomi. Responsibilities include requirements gathering, solution design, troubleshooting, programming, customer consulting, statements of work, training, collaboration, and mentoring application programmers.

Leads and mentors software engineering teams while remaining 20–30% hands-on with coding, debugging, APIs, architecture, and scalable platform services. Coordinates engineering, product, quality, SRE, security, and operations teams to deliver reliable SaaS software. Owns technical direction, roadmap influence, incident management, operational excellence, KPIs, resource allocation, hiring, performance management, and continuous improvement across globally distributed teams.

Provides hands-on technical leadership for complex software initiatives, including architecture, cloud-native development, implementation planning, code quality, testing, DevOps, scalability, reliability, and production troubleshooting. The role mentors engineers, leads technical execution, manages risks and technical debt, and collaborates with Product, UX, QA, Security, and Infrastructure teams to deliver secure, scalable SaaS solutions.

Early-career Software Engineer developing and maintaining Windows desktop fluid-flow simulation applications. Responsibilities span user interfaces, application logic, data models, integrations, testing, debugging, build automation, CI/CD, and modernization. The role involves collaboration with engineering, QA, product, and domain experts while contributing clean, maintainable code and participating in reviews, bug triage, and build pipeline rotations.

Principal Engineer responsible for owning complex software initiatives from problem framing through architecture, implementation, deployment, production support, and continuous improvement. The role involves building web applications, services, APIs, MCP servers, data pipelines, and platform integrations; leading architecture and code reviews; improving security, reliability, and maintainability; mentoring engineers; and shaping technical strategy. The engineer will also use and improve AI-assisted development practices while maintaining human accountability for quality and operational outcomes.

Leads the design and development of scalable SaaS applications, including AI-powered features such as semantic search, vector databases, RAG, and LLM orchestration. Provides technical leadership, mentorship, architectural guidance, code reviews, and engineering standards enforcement. Collaborates cross-functionally to translate requirements into robust solutions, champions AI-assisted development tools, builds developer experience tooling, and drives innovation, quality, security, and continuous improvement across the engineering organization.