Top Remote C# Jobs in Miami, FL

Develop scalable, automated software that improves product and platform security. Build and maintain full-stack applications, including front-end interfaces, application frameworks, data management, analytics, and visualization tools. Provide performance insights to customers and internal teams, research relevant technologies, and collaborate with multidisciplinary teams to deliver effective solutions.

Designs, develops, and maintains automated test frameworks and suites for complex API and web applications. Tests software functionality, performance, scalability, and database integrations; debugs defects and verifies fixes. Collaborates with engineering, QA, product, and cross-functional teams on test strategy, code reviews, sprint planning, and root-cause analysis. Contributes to CI/CD automation and creates test plans, cases, procedures, and reports.

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.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

Designs and directs development of scalable software systems using AI-assisted engineering practices. Owns architecture, APIs, data models, testing strategy, security, reliability, observability, deployment, and production operations. Decomposes work for AI agents, validates generated code and tests, leads incident response, and coaches engineers on effective AI-enabled development. Requires full-stack experience, modern server-side development, event-driven systems, cloud infrastructure, regulated-data security, and production use of agentic AI.

Leads enterprise software development, platform integrations, custom scripts, and cloud architecture. Manages the software development lifecycle from requirements through deployment, collaborates with stakeholders, mentors engineers, and directly contributes to frontend, backend, and cloud solutions. Oversees third-party enterprise tools, databases, APIs, serverless systems, QA coordination, technical processes, and cross-departmental engineering initiatives.

Design and develop scalable C++ software for endpoint state and control across Windows, macOS, and potentially Linux. Build reliable, multi-process systems that enforce endpoint behavior, manage local state, support IPC, and operate across millions of devices. Responsibilities include implementing features, improving platform performance, writing design documents, defining architecture and IPC contracts, and making technical decisions in an evolving, sparsely documented environment.

Drive technical direction and architecture across teams for enterprise retail software. Improve platform reliability and performance, scope customer-facing features, mentor engineers, de-risk large work, and embed AI-native practices (LLMs/agents) into engineering workflows.

Designs, builds, scales, and operates distributed CI/CD services supporting millions of builds, tests, and releases. Develops code for Azure-based infrastructure spanning virtual machines, containers, and custom lab environments. Responsibilities include requirements analysis, architecture and design documentation, estimation, debugging, optimization, operational playbooks, on-call incident response, monitoring, reliability improvements, and mentoring engineers.

Designs and maintains enterprise software, APIs, microservices, databases, ETL pipelines, CI/CD workflows, RPA solutions, and AI/LLM applications. Leads architecture and engineering reviews while implementing secure integrations, data governance, HIPAA/PII compliance, vector search, RAG, agentic workflows, and responsible AI practices. Collaborates with technical, compliance, data, and business stakeholders to move automation and AI solutions from prototypes into production.

Develop and deliver high-volume enterprise applications across the full software development lifecycle. Design, code, test, debug, optimize SQL solutions, troubleshoot complex issues, contribute to scalable architecture, collaborate with technical and business stakeholders, and mentor other developers. Work independently while participating in Agile development and production implementation.

Develop and support high-volume, mission-critical web applications across the full software development lifecycle. Build with TypeScript, JavaScript, Next.js, and SQL; deploy and operate applications in Microsoft Azure; use AI-assisted development tools; troubleshoot complex technical issues; make architectural decisions; and mentor other engineers. The role requires multi-tier system development, database optimization, Agile collaboration, and proactive delivery of reliable, high-quality software.

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.

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.

Develop, test, and ship features for data platforms, pipelines, contributor tools, quality assurance systems, and client-facing infrastructure. Collaborate with senior engineers, participate in code reviews, debug issues, and improve automation supporting large-scale AI training data workflows. The role offers hands-on experience with production engineering, data systems, and AI-adjacent technologies in a fully remote environment.

Build and scale full-stack applications, backend services, APIs, infrastructure, and user experiences supporting millions of users. Design reliable, high-performance systems; partner with Product, Design, and Data; own projects through deployment and optimization; improve observability and developer productivity; and support AI adoption through automation and AI-powered workflows.

Design, develop, and improve scalable software for an investment platform. Lead software development across the lifecycle, mentor junior engineers, solve complex technical problems, maintain code quality through testing and reviews, and recommend technology enhancements. The role is remote in the USA with four in-person retreats annually.

Develop and test systems-level C++ software that defines and enforces endpoint behavior. Initially, the engineer will own testing infrastructure and coverage for two active projects, then contribute to feature development. The role requires strong C++ fundamentals, automated testing experience, and interest in operating-system concepts such as processes, file systems, services, and APIs. Work includes learning unfamiliar systems, collaborating effectively, and supporting reliable endpoint security and management capabilities.

Define technical direction for hyperscale Azure Storage components; architect, develop, test, and support highly scalable, secure, compliant, and highly available cloud services. Lead multiple engineering projects, improve reliability, scalability, performance, consistency, and observability, and apply AIOps for incident detection, root-cause analysis, and operational excellence.

Lead development of secure, scalable digital banking software across front-end and backend systems. Design Angular or React applications, build APIs, optimize SQL performance, integrate third-party platforms, improve code quality, implement testing strategies, and mentor engineers. Collaborate with cross-functional teams in an Agile environment while supporting cloud-native practices, regulatory compliance, and continuous product improvement.

Develops, maintains, and enhances scalable web applications, internal tools, libraries, and shared components for international enterprise clients. Collaborates with cross-functional teams, participates in code reviews, creates technical documentation, and shares knowledge. Requires strong software development principles, design patterns, cloud, database, CI/CD, messaging, testing, and mobile framework experience.

Designs and validates scalable enterprise architectures and agentic AI systems using the OutSystems platform, AWS, and Amazon Bedrock. Translates business requirements into maintainable applications, defines reusable architecture patterns, evaluates application performance, guides modernization, and establishes integration and nonfunctional standards. The role mentors internal, customer, and partner teams while contributing to technical practices and reference architectures. Requires extensive software development and architecture leadership experience, with up to 20% travel and eligibility for an active Secret clearance.

Design, build, test, and operate modern web applications and integrations. Develop performant, accessible UIs using Angular/TypeScript, collaborate across product and infra, support cloud-native services, CI/CD, observability, and responsibly use AI-assisted tools to deliver production-ready software.

Leads and develops a software engineering team while contributing hands-on to enterprise application design, coding, testing, code reviews, production support, and technical decisions. Builds scalable solutions using C#, ASP.NET, SQL Server, and modern web technologies; partners with product and business stakeholders; supports Agile delivery, CI/CD, troubleshooting, root cause analysis, and engineering best practices. The role also includes mentoring engineers, monitoring delivery and operational metrics, and driving continuous improvement.