Top Remote Python Jobs in Miami, FL

Design and build AI-augmented test tooling and automated test infrastructure across mobile, web, and backend. Integrate testing into engineers' workflows (IDE, CI, monitoring, chatops), define quality gates, instrument AI usage and costs, ensure secure handling of PHI, and produce reusable libraries, documentation, and training to help teams adopt automated quality workflows.

Design high-performance C++ libraries for automated PCB design challenges, mentoring peers and shaping technical direction while collaborating with experts in various fields.

The Integration Engineer will lead client onboarding for fraud and compliance products, manage integrations, analyze requirements, and support clients throughout the process.

The Senior Software Developer II - Full Stack will design and develop scalable systems, leading projects while mentoring junior staff and engaging with stakeholders. The role emphasizes technical leadership, problem-solving in software development, and innovative processes in cloud and AI technologies.

The Backend Engineer will design, build, and scale Veda's backend systems, ensuring reliability and performance for DeFi applications.

Lead the technical vision and architecture for a domain, drive standards, run technical reviews, mentor engineers, plan and scope projects with product, build and ship code for hard problems, and evaluate AI tooling and production architecture to maintain reliable systems.

Lead platform and infrastructure engineering to improve stability, developer productivity, CI/CD, observability, and shared libraries. Deliver platform projects, mentor engineers, own production availability and on-call, and drive platform decisions and best practices across the org.

Design, develop, and deliver fullstack web solutions, optimize platforms, mentor engineers, and manage product features from ideation to launch.

Design, build, and maintain data platform tools, ensuring data quality and integrity. Collaborate with data science teams and enforce best software practices.

As a Staff Machine Learning Engineer, you will develop, productionize, and deploy ML models for clinical use, ensuring real-world effectiveness through hands-on coding and infrastructure building.

Develop and deploy options pricing and execution models for digital asset derivatives. Research volatility dynamics and microstructure, build backtests handling path dependency and costs, design hedging and delta management, collaborate with engineers to move strategies into live infrastructure, and monitor real-time Greeks and P&L to iterate on models.

As a Forward Deployed Engineer, you will develop AI agents and automation workflows, collaborate with teams, and ensure secure, reliable solutions integrating with various systems.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

Lead architecture and operation of AWS infrastructure using Terraform, enforce cloud security and SRE best practices, build secure CI/CD with GitHub Actions, own production reliability and incident response, mentor engineering teams, and drive cross-functional platform strategy and automation.

Serve as an embedded Linux expert on customer projects: design and refactor real-time architectures, develop Linux kernel drivers, debug low-level hardware/software issues, optimize kernel performance, collaborate with customers and internal teams, lead technical efforts, produce high-quality deliverables, and create technical proposals to support product lifecycle and certification.

The Software Engineer will build features across the stack, design AI/LLM-driven workflows, translate requirements, and collaborate closely with the founding team and customers.

Lead a cross-functional engineering team to design and deliver SMART on FHIR applications embedded in EMR workflows. Champion AI-driven, agent-assisted development, collaborate with data engineering on Python/dbt/SQL pipelines, implement engineering best practices, and manage hiring, mentorship, and stakeholder communication while ensuring quality, reliability, and interoperability.

The Senior Full-Stack Software Engineer will design, build, and scale backend services and APIs for financial transactions while collaborating with frontend engineers and contributing to technical design.

Develop and ship backend and frontend features that improve school-family communication. Collaborate with product and design, champion AI/LLM-driven workflows, build scalable secure services on AWS, evolve monolithic systems, participate in code reviews, and help shape architecture.

Design, build, and operate scalable AWS-based platform infrastructure for data processing. Improve pipeline automation, monitoring, security, and reliability. Lead CI/CD, IaC (Terraform/Scalr), network design, and incident response; collaborate with cross-functional teams and participate in on-call rotation. Integrate AI tools to streamline development and troubleshooting.

Lead embedded Linux platform enablement for Nabu Casa hardware: maintain and improve Buildroot-based OS support, perform board bring-up, debug platform-level issues, optimise performance and reliability, upstream patches to open-source projects, maintain CI for builds, and document platform architecture and procedures while collaborating with hardware teams and open-source communities.

Lead a developer pod to design and deliver UiPath-based Agentic/RPA solutions. Provide technical design, mentor engineers, configure UiPath AI Trust Layer and LLM interfaces, integrate systems via APIs, and drive customer adoption and evangelism of the UiPath platform.

Define and drive full-stack architecture and technical vision across teams, write high-quality production code, lead zero-to-one projects, productionize ML systems, own reliability and SLOs, mentor senior engineers, and align engineering roadmaps with product and company strategy.

Lead and evolve secure, automated cloud platforms and CI/CD pipelines using IaC, containers, and Kubernetes. Integrate security tooling, mentor engineers, optimize cloud cost and reliability, and produce technical documentation while supporting Generative AI development workflows.

Lead backend and full-stack engineering strategy, design and deliver scalable, secure distributed systems and microservices for government customers. Drive architecture, data design, observability, CI/CD, cloud-native patterns, mentoring, and large modernization initiatives while collaborating with product and stakeholders.