Top Remote C# Jobs in Miami, FL

Develop and maintain scalable Java and Kotlin backend services for NinjaOne’s SaaS backup and recovery platform. Design high-availability features supporting backup, archive, restore, and download workflows at large scale. Collaborate with globally distributed engineering teams, own architecture and design decisions, mentor engineers, optimize databases and distributed systems, and deliver reliable production software using technologies including AWS, PostgreSQL, Redis, Kafka, and REST frameworks.

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.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development 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.

Supports software engineers and cross-functional partners with coding, debugging, technical documentation, automated testing, and software development. Translates user stories and requirements into test scripts and software components, while contributing to technical design, planning, testing, and implementation within an Agile development environment. This is a 10-week remote internship for a currently enrolled college student.

Leads and develops backend software engineering managers and technical teams, establishes development metrics and delivery processes, and drives high-quality product releases. Partners with design and business teams on customer-centered experiences, facilitates cross-functional planning, mentors employees, improves engineering practices, and supports long-term organizational and product goals.

Designs and maintains scalable automated testing frameworks and end-to-end test suites using modern automation tools. Integrates testing into CI/CD pipelines, reduces test flakiness, analyzes defects and performance issues, and guides risk-based testing strategies. Partners with Engineering and Product teams to embed quality throughout development, supports observability and troubleshooting, and promotes shift-left testing and continuous quality improvement.

Leads a multidisciplinary engineering team delivering production-ready customer solutions through a Forward Deployed Engineering model. Responsibilities include portfolio and delivery leadership, coaching software engineers, technical program managers, and data scientists, serving as a player-coach, improving engineering practices, and applying responsible AI and LLM capabilities to customer engagements. The role includes customer collaboration, end-to-end solution delivery, and up to 25% travel.

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.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.

Develop and maintain full-stack SaaS applications supporting Medicaid health plans and providers. Responsibilities include contributing to architecture and feature development using Agile methodologies, providing Tier 2/3 customer support, analyzing complex problems, implementing readable design-pattern-based solutions, and owning application features through completion. The role requires collaboration, continuous technical learning, and occasional travel of 10% or less.

Develop and optimize SQL query processing for a distributed database operating across petabytes of data and hundreds of nodes. Responsibilities include parsing, validation, optimization, execution, performance analysis, debugging, code reviews, design discussions, testing, and collaboration with engineering and customer operations teams. The role also supports process improvement, knowledge sharing, and mentoring fellow engineers.

Build small game projects and interactive scenes in a major game engine for AI assessment tasks. Create realistic gameplay bugs and multifaceted feature challenges, write clear task briefs and success criteria, develop reference solutions, and conduct thorough playtesting. Candidates should have game development experience, a strong portfolio, proficiency in Unity, Godot, or Unreal, familiarity with relevant scripting languages, debugging skills, and strong technical writing ability.

Designs and develops enterprise integration and AI automation infrastructure, including production MCP servers, AI agents, APIs, Celigo workflows, and secure connections to enterprise applications. Owns integration architecture, authentication, observability, error handling, access controls, monitoring, documentation, and production support. Builds reliable, scalable solutions using REST, SOAP, webhooks, enterprise authentication, and programming languages such as Python, JavaScript, Java, or C#.

Supports NAVSUP applications through requirements analysis, system architecture, application integration, software engineering, testing, documentation, release support, and production troubleshooting. Collaborates with users, mission partners, and technical teams; develops prototypes, interfaces, and corrective solutions; maintains application modules and documentation; and supports Agile delivery, quality audits, and change reviews. Requires at least two years of related experience, technical education, IAT Level II certification, and U.S. citizenship.

Lead architecture and hands-on development of Azure Kubernetes Service capabilities for AI workloads. Design secure, reliable, scalable distributed systems; coordinate engineering teams; define testing and deployment strategies; improve observability and operational readiness; investigate production issues; and mentor engineers while advancing engineering practices.

Develops and maintains Azure-based full-stack software, CI/CD infrastructure, testing frameworks, and reliable skilling platform services. Responsibilities include application and database design, coding, deployment, site reliability, security, automation, AI-assisted Copilot features, LLM-based test failure analysis, and cross-team collaboration. The role requires building scalable cloud and hybrid solutions using microservices, DevOps practices, infrastructure as code, and Azure data services.

Lead performance engineering for massive-scale HPC and AI workloads across InfiniBand-connected GPU clusters. Diagnose communication bottlenecks, analyze fabric behavior, tune RDMA and QoS, develop telemetry tooling, optimize topology-aware communication, benchmark distributed workloads, and collaborate with operations and hardware vendors on next-generation interconnects.

Build and scale a multi-tenant B2B SaaS product for metal recycling operations. Own data modeling, APIs, UI, UX, deployment, integrations, dashboards, and agentic data features end to end. Collaborate with operators, plant managers, the CTO, and product teams to design workflows, integrate ERP and plant data, and deliver reliable software used on the plant floor. The role is remote within the US with occasional customer-site and company travel.

Designs and delivers Amazon Connect and Salesforce contact center solutions for enterprise customers. Leads discovery, technology assessments, ROI development, architecture, integrations, and cloud deployment discussions. Translates business requirements into contact center designs, oversees technical teams, manages stakeholder communications, and ensures projects meet quality, budget, and timeline goals. Provides customer training and documentation while guiding cloud infrastructure, automation, monitoring, security, and compliance practices.