Top Software Engineer Jobs in Miami, FL

Build, test, support, and enhance scalable web applications using Node.js, React, MongoDB, and APIs. Collaborate with cross-functional teams, troubleshoot production issues, contribute to architecture and technical documentation, and lead medium-complexity initiatives. Participate in code reviews, Agile development, on-call support, technical debt reduction, and monitoring. Mentor junior engineers and promote engineering best practices, automated testing, CI/CD, and software quality standards.

Design, build, and operate payment services for card processing, refunds, reconciliation, and processor integrations. Develop scalable Kotlin and Java Spring Boot APIs, optimize PostgreSQL schemas and SQL, and implement idempotency, retries, webhooks, audit trails, and reconciliation. Respond to payment incidents, conduct root cause analysis, collaborate cross-functionally, review architecture and code, and mentor engineers. The role requires strong distributed-systems, payments, PCI DSS, debugging, and production operations experience.

Lead hands-on technical delivery for a cross-functional product engineering pod. Design and implement Angular frontends, Python APIs, and cloud-native services while guiding engineers through architecture, code reviews, testing, releases, and production troubleshooting. Translate product requirements into maintainable designs and vertical slices, establish quality and security standards, manage technical debt, and collaborate with Product, QA, BA, and DevSecOps teams. Experience in regulated life sciences, clinical technology, and standards such as CDISC or USDM is preferred.

Build scalable data processing and exploration pipelines, ML infrastructure, and cloud-based applications. Write, test, instrument, and deploy software in Kubernetes environments while contributing to distributed systems and data-driven products. The role focuses on Python, big data technologies, containerization, and systems supporting marketplace intelligence.

Designs and operates production data infrastructure, ETL/ELT pipelines, APIs, containerized AWS services, and graph-based systems. Responsibilities include relational, document, and graph database architecture; data quality and lineage; CI/CD automation; and integration of blockchain, financial, and investigative data. Partners with R&D, data scientists, and investigations teams to deliver production software for federal and commercial clients.

Engineering Manager responsible for the health, delivery, people management, onboarding, staffing, and continuous improvement of a 6–8 person engineering pod. The role partners with Product and Technical Leads, manages execution and technical risk, supports hiring and growth, addresses performance issues, and maintains enough technical depth to evaluate software plans. The manager will work in an AI-native, remote-first environment building mortgage automation software.

Lead modernization of a 30-year-old Store Management System by reverse engineering EZC file-based platforms, migrating data and applications to PostgreSQL, and developing enterprise C/C++ software. Responsibilities include architecture, systems integration, APIs, ETL, performance optimization, troubleshooting, documentation, and maintaining business continuity. The role also applies AI-assisted development tools for code analysis, documentation, testing, and modernization while mentoring teams and supporting legacy and modern environments.

The Protocol Engineer will develop and optimize core components of the Injective blockchain, focusing on decentralized order book, trade execution, and cross-functional collaboration.

Lead architecture and development of secure, high-scale Python and FastAPI payment infrastructure for AI-agent transactions. Design APIs for tokenization, mandates, authentication, attestation, and cryptogram workflows; own security, reliability, observability, testing, Kubernetes provisioning, and production operations. Drive technical initiatives, design reviews, and cross-functional collaboration with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Build full-stack Django applications with a frontend focus, creating intuitive, interactive, and performant data visualizations for complex healthcare pricing data. Collaborate with product and engineering teams to define user experiences, prioritize features, write scalable code, test and debug systems, improve existing functionality, and translate user requirements into technical solutions.