Top Remote Software Engineer Jobs in Miami, FL

Lead architecture and implementation of a new frontend platform, define org-wide frontend best practices, mentor engineers, collaborate with product/design/backend, operationalize tools and CI/CD, drive cross-team initiatives, and ensure high-performance, maintainable, and accessible frontend systems.

Lead and mentor a team of engineers to design, implement, and maintain scalable, enterprise-grade services. Drive architecture decisions, conduct code and architecture reviews, define testing strategies, collaborate cross-functionally, engage with clients on complex technical issues, and continuously improve development processes and tooling.

Build and maintain data onboarding pipelines and automation to extract, transform, validate, and import retailer data from legacy POS systems. Optimize performance, ensure data quality, and collaborate with onboarding, product, and operations teams to scale retailer onboarding.

The Senior Frontend Engineer will architect and develop core services using Angular, collaborating on design and maintenance of web applications, ensuring quality and security standards are met.

The role involves leading projects as a full-stack engineer, focusing on SaaS products, enhancing user experiences, and building accessible software.

Lead the development of an AI-powered platform for senior mental health, building systems for patient experience, and mentoring the engineering team.

The Senior Software Engineer will design, build, and maintain services for Cadence's remote patient monitoring platform, collaborating with product owners and internal stakeholders in a fast-paced environment.

As a Staff Software Engineer at Vetcove, you'll lead complex product initiatives, enhance applications, mentor engineers, and design scalable systems to improve veterinary clinic operations.

This role involves full stack development, mentoring junior developers, participating in agile practices, and leading cross-functional teams on software projects.

The Tech Lead collaborates with machine learning teams to improve AI voice deployment, optimizing performance and stability of services using Python and cloud technologies.