Top Software Engineer Jobs in Miami, FL

Build and scale backend-focused systems supporting truckload freight operations, including high-volume carrier quotes, automated transactions, distributed services, and APIs. Design scalable data models and architectures, contribute across the React and TypeScript stack, make key technical decisions, mentor engineers, and collaborate with product leadership. The role also involves developing AI-powered logistics tools and maintaining reliable, secure infrastructure on Kubernetes and GCP.

Build and maintain responsive web, PWA, and mobile app experiences; design secure APIs and third-party integrations; develop conversational AI and voice bots; implement targeted messaging, ad-tech, analytics, and A/B testing; and optimize performance, reliability, and uptime. The role requires full-stack development, marketing technology integration, cloud and DevOps fundamentals, and collaboration in a fast-paced startup environment.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Design, develop, and maintain core database features for VillageSQL Cloud, emphasizing performance, stability, scalability, security, and reliability. Build distributed systems using Go and Kubernetes, collaborate on technical vision and architecture, contribute to open-source projects, participate in code reviews, troubleshoot complex issues, and engage with the developer community. The role focuses on database-as-a-service infrastructure and cloud service evolution.

Work with the development team to build and debug web applications: write Python backend code, create responsive HTML/CSS/JavaScript frontends, integrate frontend and backend, participate in code reviews and testing, learn frameworks and document progress.

Build AI development workflows, agent orchestration systems, collaborative tooling, generative creative pipelines, SDKs, and infrastructure that help teams rapidly prototype and productionize educational experiences. The role spans infrastructure, product, and creative tooling, with responsibility for autonomous agents, asynchronous workflows, multimodal asset generation, reusable engineering primitives, and technical support for a small collaborative team.

Leads two infrastructure and engineering systems squads, owning roadmap, prioritization, delivery, operational health, hiring, mentoring, and vendor budgets. Ships production code, manages on-call performance, oversees audits and automation, and partners across engineering and business functions. Requires substantial software engineering and people-management experience, hands-on production development across cloud or application technologies, strong CI/CD and observability knowledge, security awareness, and experience directing AI agents in production workflows.

Design, build, test, deploy, and operate reusable enterprise integrations using Workato and modern APIs. Partner with engineering teams, define data flows and security models, create custom connectors and integration templates, and ensure production observability, testing, documentation, and support. Translate partner needs into product requirements, support sales proofs of concept, evaluate agent integration patterns, and use AI coding tools while validating security, correctness, and maintainability.

Develop and modernize enterprise applications using C#/.NET and PostgreSQL, including refactoring a Microsoft Access/VBA application. Responsibilities include writing maintainable code, participating in code reviews, testing, documentation, deployment, and collaborating with the software development team in a fully remote environment.

Senior full-stack engineer responsible for architecting, developing, deploying, monitoring, and supporting production capabilities across a React, Node.js, PostgreSQL, Rust, and Azure Kubernetes platform. The role includes delivering AI and LLM features, owning complex technical initiatives, improving reliability and security, contributing to architecture and engineering standards, partnering with stakeholders, and mentoring engineers.