Top Software Engineer Jobs in Miami, FL

Build and maintain developer workflows, CI/CD and deployment automation, containerized development environments, SDK packaging and release pipelines, AI performance dashboards, and productivity tools. Design scalable software and developer tools for novel hardware platforms, collaborate with hardware and ML teams, manage C++ codebases, establish engineering standards, and optimize software delivery and production readiness.

Define technical direction for hyperscale Azure Storage components; architect, develop, test, and support highly scalable, secure, compliant, and highly available cloud services. Lead multiple engineering projects, improve reliability, scalability, performance, consistency, and observability, and apply AIOps for incident detection, root-cause analysis, and operational excellence.

Lead and grow a team of Azure Solution Engineers to drive cloud migration, application modernization, and AI adoption for Education, Nonprofit, and IGO customers. Partner with sales, engineering, product, and partners to deliver secure, governed, and scalable Cloud & AI solutions, scale repeatable plays, and coach technical talent to achieve measurable customer and business outcomes.

Architect and lead RapidFort’s scalable build platform for producing hardened container images. Responsibilities include designing distributed build systems, automating image creation and validation, improving reliability and performance, solving Linux and container infrastructure challenges, establishing software supply chain standards, influencing cross-team architecture, and mentoring engineers. The role requires deep expertise in Linux, Docker, Kubernetes, Python, Bash, CI/CD, distributed systems, and build automation.

Designs, develops, deploys, and operates scalable Go and Python microservices in distributed production environments. Responsibilities include API design, Kubernetes deployment, monitoring, scaling, troubleshooting incidents, system architecture, security, testing, code reviews, and continuous improvements to development processes and infrastructure. The role requires end-to-end service ownership, strong Linux and Docker expertise, observability knowledge, and experience with reliability, performance, and CI/CD practices.

Designs, develops, deploys, and supports complex, scalable software systems. Leads architecture and technical solutions, implements AI-enabled and agentic applications, integrates systems, performs testing and troubleshooting, and ensures quality, security, reliability, and performance. The role also supports incident management, CI/CD, Agile delivery, code reviews, mentoring, stakeholder collaboration, and adoption of AI-assisted engineering tools.

Lead architecture and development of scalable full-stack systems spanning web, mobile, backend, data, and partner integrations. Build React and TypeScript applications, Node.js services, APIs, and AWS-based distributed systems. Drive cloud-native DevOps, reliability, security, compliance, and AI-assisted engineering practices. Influence cross-team technical direction, establish shared standards, mentor engineers, and lead initiatives across frontend, backend, mobile, and data domains.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Design, build, and maintain backend services and APIs using Ruby on Rails. Improve performance, scalability, reliability, and write well-tested production code. Collaborate with Product, Frontend, Data Engineering, and QA teams.

Design, build, and maintain backend services and APIs using Ruby on Rails. Ensure performance, scalability, reliability, and test coverage. Collaborate with Product, Frontend, Data Engineering, and QA to deliver production-quality code for web and mobile platforms.

Design, develop, and maintain scalable backend services in Golang. Build and consume REST APIs and microservices in cloud environments, collaborate with cross-functional teams, debug and optimize performance, and participate in code reviews and best-practice adoption.

Design, develop, and enhance custom SAP Fiori/UI5 applications; configure Fiori Launchpad; integrate OData services; perform UI debugging, performance optimization, code reviews, unit testing, and documentation while collaborating with backend and functional teams.

Design, build, and deploy secure, high-performance, scalable cloud-native applications supporting Ariba P2P. Work full-stack in Java using Spring Boot and the SAP BTP Cloud Foundry CAP (Java) model, applying resiliency, security, and performance best practices.

Contribute to designing, developing, and operating scalable data platform components and services. Build infrastructure tools, automate operations, improve reliability and performance, and apply GenAI techniques to developer and operator experiences. Collaborate across engineering teams, address scalability challenges, and deliver projects end-to-end with guidance from senior engineers.

Leads complex systems analysis, software design, development, testing, debugging, documentation, and application support. Coordinates technical project plans, evaluates vendor technologies, drives milestones, mentors staff, and oversees development resources. Collaborates with technology teams, business units, clients, vendors, and senior management to implement system solutions, manage risks, maintain controls, and improve applications. May support budgeting, performance reviews, audits, business studies, and due diligence activities.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

Build, configure, administer, and support enterprise SaaS applications, ERP/CRM integrations, SQL data models, ETL processes, and automated workflows. Diagnose production issues, improve reliability, manage testing and deployments, document systems, coordinate vendors, and partner with business, data, security, and validation teams to deliver dependable commercial applications.