Top Remote Software Engineer Jobs in Miami, FL

Define Scribd’s technical vision for agentic engineering and establish architecture, patterns, and guardrails for AI-assisted software development. Lead internal developer tools, libraries, platforms, and engineering workflow improvements across codebases, CI/CD, and infrastructure. Partner with engineering leadership on ambiguous cross-organizational initiatives, mentor senior and staff engineers, and drive adoption of coding-agent capabilities throughout the organization.

Own architecture and implementation across React, Node.js, and Web3 integrations. Build decentralized applications, integrate wallets, DeFi protocols, blockchain data, and third-party APIs, and scale real-time data infrastructure. Lead features from design through deployment and production support while improving performance, security, reliability, and interoperability. Work independently in a demanding startup environment with substantial technical ownership.

Design, develop, test, and maintain reliable software using functional programming principles. Apply strong typing, domain modeling, and abstraction to solve complex engineering problems across backend, distributed systems, financial infrastructure, blockchain, and developer tooling. Collaborate with engineers and clients, contribute to architecture and technical decisions, investigate issues, review code, communicate trade-offs, and improve engineering practices.

Develop and ship full-stack, AI-powered applications using Unframe’s platform. Collaborate with product teams and enterprise customers to tailor solutions, extend platform and UI layers, integrate AI capabilities into production, and deliver clean, tested, maintainable code. The role requires end-to-end ownership of user-facing products and strong communication in a fast-moving startup environment.

Own the architecture, production readiness, security, scalability, reliability, and ongoing evolution of a custom coaching and community platform. Lead full-stack feature development with a backend focus, Vue.js frontend work, relational data modeling, integrations, testing, deployment, monitoring, incident response, and production support. Review external engineering work, transfer technical knowledge, identify risks, and potentially contribute to AI/LLM architecture including RAG and agents.

Build and maintain enterprise workforce management software for forecasting, scheduling, adherence, intraday management, and reporting. Develop Java and Spring Boot microservices, React and TypeScript applications, REST APIs, event-driven workflows, integrations, and PostgreSQL data models. Support cloud-native deployments, CI/CD, testing, performance optimization, production troubleshooting, architecture discussions, and client-facing collaboration.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The engineer will own projects from discovery through implementation and ongoing improvement, using strong backend engineering skills in Python, Bash, and Linux environments.

Lead the design, development, reliability, scalability, and operational excellence of Humana’s Next Best Action platform. Build platform services, automated testing, observability, resilience, and production-readiness capabilities across distributed systems. Write production code, manage and mentor engineers and contractors, establish quality standards, and coordinate with platform, data, decisioning, orchestration, and activation teams. Ensure high performance, traceability, fault tolerance, and compliance in a regulated healthcare environment.

Build and maintain backend services and metadata pipelines supporting data discovery, governance, and AI/ML workflows. Responsibilities include integrating relational databases, developing Java, Node.js, and Python services, optimizing distributed pipelines, implementing Terraform infrastructure, supporting GitLab CI/CD, and writing comprehensive tests. The role also involves troubleshooting scalability and reliability issues, designing asynchronous workflows, and collaborating on modern data lake, search, metadata, and LLM-enabled technologies.

Own the company’s integration surface, beginning with CargoWise and expanding to Magaya, Descartes, and other operational platforms. Build safe bidirectional write-back connectors with idempotency, replay, reconciliation, validation handling, and workflow safeguards. Integrate deeply with the company’s canonical connector architecture using Python, FastAPI, Celery, PostgreSQL, Redis, and AWS. Apply hands-on TMS and CargoWise/eAdaptor expertise to modify customer systems of record reliably in production.