Top C# Jobs in Miami, FL

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.

Design, implement, and test full-stack solutions using object-oriented principles and TDD. Collaborate with cross-functional teams to deliver front-end and back-end components, produce technical designs, estimate effort, and adopt best practices.

Design, implement, and optimize gameplay mechanics and systems. Collaborate with designers, artists, and developers to troubleshoot and refine code, optimize performance across platforms, and maintain clean modular code while staying current with game technologies.

Design, develop, and maintain MSSQL database solutions and applications. Maintain COBOL production apps, write C# (.NET Core) code, use Python/PowerShell scripting, troubleshoot and optimize performance, participate in code reviews, and adopt AI-enabled tools to improve 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.

Define and drive scalable, cloud-native system architecture; set technical standards and governance; mentor engineers; align stakeholders on trade-offs; lead legacy modernization and integrate DevOps and AI-assisted workflows.

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.

Design, develop, deploy and support enterprise healthcare applications. Lead end-to-end solution delivery, tune report performance, ensure security and data governance, mentor team members, collaborate with stakeholders, and support production issues across front-end and back-end systems using .NET, SQL Server, SSRS/SSIS, cloud and big-data tools.

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.

Design, build, and own operator services that provision, repair, and manage bare-metal GPU servers. Implement secure, extensible code across firmware, imaging, DPU initialization, and network configuration. Operate and monitor GPU fleets at scale, serve on-call rotations to resolve incidents, and apply AI tools across the SDLC while driving automation, telemetry, and reliability improvements.

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.

Lead architecture and engineering for Azure core platform: define technology requirements, resolve cross-team issues, drive systemic reliability/performance improvements, mentor engineers, support on-call operations, and apply AI/ML to cloud operations.

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.