Top Software Engineer Jobs in Miami, FL

Build enterprise workforce management software for forecasting, capacity planning, 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, and technical design. Collaborate with product, operations research, QA, DevOps, UX, and client stakeholders.

Develop and maintain front-end, back-end, or full-stack features for an AI-native SaaS platform. Contribute to AI-powered capabilities, client deployments, integrations, troubleshooting, performance, reliability, and scalability. Collaborate with product, design, customer success, data, and international engineering teams while participating in code reviews, documentation, and continuous improvement.

Build AI-powered applications, APIs, integrations, agentic workflows, dashboards, and marketing automations. Connect GoHighLevel with CRMs, databases, AI services, and external tools using webhooks, OAuth, and REST APIs. Rapidly prototype solutions with Replit and Lovable, troubleshoot and monitor automations, document systems, and identify opportunities to eliminate manual work. The role requires creative experimentation, strong independent problem-solving, and occasional travel to quarterly conferences and live sales events.

Manage and mentor software and systems engineers while remaining hands-on with Python, TypeScript, and SQL development. Lead architecture, cloud infrastructure, data pipelines, CI/CD, testing, security, HIPAA compliance, and system reliability. Partner with clinicians, product managers, and security teams to deliver healthcare technology solutions. Oversee technical initiatives, budgets, hiring, team culture, incident response, and engineering processes for a fully remote team.

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.

Designs, implements, maintains, and troubleshoots EDI systems and integrations. Supports internal and external stakeholders, supplier onboarding, transaction processing, documentation, testing, training, production monitoring, and continuous workflow improvements.

Build and maintain cross-platform endpoint agent capabilities for Windows, macOS, and Linux using Rust and native operating system APIs. Develop secure, concurrent, networked systems integrating with backend services, and own features from design through production support. Investigate complex endpoint issues, improve performance, reliability, security, and upgrades, and contribute through design reviews, code reviews, automated testing, and technical guidance.

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.

Orchestrate AI coding agents across parallel workstreams to deliver production features, refactors, bug fixes, and investigations. Own work end to end from product specifications and architecture through implementation, code review, testing, deployment, and production health. Build internal AI tooling, improve agent-generated code quality, operate scalable e-commerce systems, and collaborate with Product, Design, Operations, and Engineering teams. Mentor engineers on AI-native workflows and automate remaining manual engineering processes.

Lead a team of software developers while remaining hands-on with C#/.NET development, architecture, coding, code reviews, and complex problem resolution. Guide technical decisions, mentor engineers, improve engineering standards and CI/CD practices, and deliver scalable, secure, reliable SaaS features. Collaborate with distributed Product and Engineering teams, contribute to system design, and help build a growing U.S. engineering organization.