Top Remote C# Jobs in Houston, TX

Lead API Developer to architect, build, and maintain scalable .NET/C# REST APIs on Azure. Enforce engineering best practices (CI/CD, code reviews, high test coverage), containerize with Docker/Kubernetes, integrate microservices with cloud databases/storage and IAM (OAuth/SAML/OIDC), use Azure DevOps, monitor analytics, and provide technical leadership and documentation (Swagger).

Design, develop, and maintain high-performance web applications and WebAPIs using .NET 6 and React. Build scalable, reliable services, optimize performance, troubleshoot defects, and collaborate with product and development teams. Use Azure platform services, NoSQL/SQL databases, CI/CD pipelines, and propose continuous improvements.

Design and enforce architecture and engineering best practices for Azure-based microservices. Create solution artifacts, ensure code quality, implement containerized deployments (Docker/AKS), integrate cloud services, secure SSO/auth, and provide technical leadership.

Lead architecture and development of scalable REST-based microservices using .NET 6+, ASP.NET and C#. Drive API design, documentation, CI/CD with Azure DevOps, Azure deployments, event-driven integrations, testing (xUnit/NUnit), and mentor engineers while ensuring performance, security (JWT/OAuth/SAML), and observability for large eCommerce systems.

Design and implement enterprise Sitecore solutions, lead architecture, integrate with third-party systems, optimize performance and security, provide technical leadership, and mentor development teams to deliver scalable, high-quality software.

Design, build, and operate backend systems for a mortgage lending platform. Own backend responsibilities from design through production, focusing on scalability, performance, reliability, and multi-service architectures while collaborating with product and full-stack engineers.

Join an early-stage platform team to scale and mature a mortgage origination platform. Work across the stack to improve distributed systems, performance, observability, and infrastructure tooling, and help define engineering standards and frameworks for growth.

Build and scale the platform infrastructure to support mortgage origination: design cloud architecture, deploy and operate Kubernetes-based systems, manage databases, implement observability and incident response, and create internal developer tooling to improve reliability and engineering velocity.

Build and maintain full-stack features on a product-oriented team, owning product areas end-to-end. Ship customer-facing functionality, design and optimize data models and schemas, work with React state management, relational databases, cloud services, event streaming, caching, and AI tools. Collaborate cross-functionally, take high ownership, and occasionally support mission-critical work outside normal hours.

Design, develop, and deliver scalable backend systems and components using .NET 10 and C#. Build and maintain databases and messaging infrastructure (PostgreSQL/SQL Server, RabbitMQ), deploy with Docker and AWS, apply DDD and ORMs, triage/prioritize work, and contribute to distributed, event-driven architecture with emphasis on reliability and idempotency.

Develop, configure, integrate, and operationalize command-and-control (C2) and Common Operating Picture (COP) applications. Build workflow automation, event management, alerting, data fusion, dashboards, and operator-focused UX. Support testing, interoperability validation, demonstrations, and operational readiness while collaborating with systems engineering and stakeholders.

Lead technical direction for a major product domain, reduce architectural debt, mentor engineers, standardize AI-agent workflows, and design scalable backend solutions integrating LLMs and cloud services. Drive cross-team RFCs, cookbook standards, and adopt agentic AI tooling while balancing security, quality, and delivery.

Design, build, and operate highly scalable cloud-native microservices and web applications. Own features from design through production, improve observability, CI/CD, and cloud infrastructure, mentor teammates, collaborate across teams, and leverage AI developer tools to automate and accelerate engineering workflows.

Provide hands-on support for the Mphasis Javelina platform and legacy systems, troubleshoot production and data issues, modernize AS400/finance applications using C#/.NET, automate and maintain reporting and SQL processes, manage accumulator and claims data loads, and develop operational documentation and runbooks to improve reliability and reduce manual work.

Lead end-to-end design, development, and quality of enterprise cloud solutions. Estimate costs, define quality criteria, implement complex systems, manage engineering processes, risks, and dependencies, and mentor teams. Serve as technical lead across large, cross-functional projects to deliver measurable, user-centric healthcare technology solutions.

Build and maintain scalable backend microservices and developer-facing APIs, lead projects end-to-end, collaborate with product and engineering teams, design secure/versioned APIs, and manage cloud infrastructure using IaC.

Build and maintain the GG App across Windows, macOS, and iOS including installers, background services, auto-update systems, enterprise deployment paths, health reporting, AWS backend, and documentation. Lead architecture decisions, mentor engineers, participate in on-call support, and champion AI adoption and automation across engineering.

Lead design and delivery of cloud and AI production systems, partner with stakeholders to translate needs into architecture, ensure security and quality, mentor engineers, and drive customer adoption and scalable reusable solutions across engagements.

Design, build, and operate high-performance, distributed .NET and TypeScript/React applications and cloud APIs. Implement microservices on AWS, automated testing, GitHub Actions CI/CD, observability with OpenTelemetry, and diagnose production issues to ensure scalable, reliable systems.

Build, integrate, and stress-test full-stack applications and backend services that leverage advanced AI models. Develop production APIs, front-end features, databases, and cloud infrastructure; troubleshoot integrations; prototype rapidly and deliver high-quality code and documentation in fast-moving environments.

Design, develop, and deploy Power Platform solutions on Dataverse, including Power Automate, Power Fx, C# plugins, JavaScript, Dual Write, and Power Apps. Troubleshoot Dataverse/Dynamics CE issues, manage small projects and offshore development, build integrations and data migrations, maintain client relationships, and follow standards and project timelines.

Design, build, and maintain high-performance, distributed full-stack applications using C#/.NET and TypeScript/React. Implement microservices on AWS (DynamoDB, RDS, SQS, Lambda, API Gateway), automated testing, and GitHub Actions CI/CD. Troubleshoot production issues, optimize performance, and instrument observability (OpenTelemetry, tracing, metrics). Collaborate with product and engineering teams to deliver scalable, secure, multi-tenant solutions.

The Back End Software Engineer will design and build scalable services for a SaaS platform, collaborate with teams, and contribute to quality code and architecture discussions.

Lead design and delivery of scalable, reliable software using C#/.NET, SQL Server, React, and Azure. Own complex initiatives from design through operations, mentor engineers, improve CI/CD, observability, and apply DDD/TDD/VSA practices. Use modern APIs, microservices or modular monoliths, and AI-assisted tooling to improve delivery.

Design and scale high-performance Ethernet and InfiniBand fabrics for hyperscale AI training clusters. Develop ROCE transport and congestion-control mechanisms, topology and routing strategies, telemetry and observability, cluster bring-up, benchmarking, tuning, and cross-vendor co-design to enable low-latency, lossless networks at 10k–100k+ GPU scale.