Top Remote Python Jobs in Miami, FL

The Forward Deployed Engineer will lead customer deployments of the AI recruiting platform, configure workflows, integrate systems, and enhance AI-driven solutions while liaising with customers and internal teams.

The Test Automation Engineer will develop automation frameworks, integrate testing into CI/CD pipelines, analyze results, and collaborate on product requirements.

Simulate and optimize ultra high-speed PCB channels (112G+ SerDes), guide digital hardware designers using simulation and measurements, design PCB test boards, document results, participate in design reviews, and improve SI processes while collaborating cross-functionally.

Build and maintain end-to-end features across frontend (React/TypeScript) and backend (Python/FastAPI), design and consume RESTful APIs, write well-tested code, collaborate with product and customers, and iterate quickly based on feedback to support hospital supply chain workflows.

Design, build, and operate large-scale distributed web-crawling and data ingestion systems. Improve throughput, reliability, observability, and data quality. Develop backend services for job orchestration and asynchronous workloads, partner with product teams to create data products, and mentor teammates on domain-specific acquisition techniques.

The Forward Deployed Engineer collaborates with customer teams to design, prototype, and troubleshoot real-time communication and voice AI applications on the LiveKit platform.

The Solution Engineer will design and implement data quality solutions, work directly with customers, and optimize integrations within their data ecosystems, utilizing Python and modern tools while communicating technical concepts effectively.

Develop secure, data-rich frontend features using React and TypeScript for a DoD mission-planning platform. Integrate UIs with backend APIs, support map-based and AI-enabled decision-support workflows, write unit/integration tests, participate in code reviews and security remediation, and collaborate with cross-functional teams with periodic onsite sprint planning in Laurel, MD.

Build, test, and integrate secure backend services and APIs for DoD mission-planning. Work on REST and gRPC services, asynchronous workflows, geospatial databases, containerized deployments, CI/CD, automated tests, and vulnerability remediation while collaborating with AI/ML, frontend, and cybersecurity teams.

As a Software Engineer at Canonical, you will design, build, and ship software, improve packaging and distribution processes, and mentor colleagues while contributing to open source projects.

The Junior Ubuntu Software Engineer will design, build, and ship software, focusing on quality and resilience, while engaging with the open source community.

The Ubuntu Engineering Lead will oversee and mentor teams, drive the development and delivery of high-quality software, and contribute to community engagement while managing technical roadmaps and cultivating engineering talent.

Build and operate scalable Kubernetes (EKS) infrastructure, develop Terraform infrastructure-as-code, maintain internal developer platform and tooling, support automation, security, and performance, and participate in 24x7 on-call rotations and incident escalation.

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.

Deploy, upgrade, and maintain High-Speed Data infrastructure supporting DNS, DHCP, DOCSIS provisioning and related platforms. Perform Linux (CentOS/RHEL) administration, scripting/automation (Python, Bash, Ansible, Docker), vendor management, troubleshooting, LLD documentation, project work, training, and on-call support to ensure availability and security of HSD services.

Lead an engineering product team building account management, portfolio tracking, and wealth management platforms. Provide technical leadership and architecture guidance, manage schedules and vendors, mentor engineers, drive DevOps and observability practices, collaborate with product and stakeholders, and own operational readiness and incident escalation. Hands-on data engineering experience with AWS, Python, Lambda, and Postgres is valued.

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

The Senior Software Engineer will lead development, mentor engineers, and create data solutions using TypeScript, React, and Python. Responsibilities include designing applications, driving innovation, and ensuring high-quality user experiences.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

As a Senior/Staff Software Engineer, you will design and implement products, guide other engineers, and drive innovation in health data solutions.

Design, implement, and operate scalable, fault-tolerant web crawling and extraction pipelines processing massive web data. Write production Java/Python code, build ETL/ELT pipelines (BigQuery/Snowflake), use Kafka, Kubernetes (GKE/EKS), Terraform, and Airflow, and improve observability, reliability, and collaboration with product and data science teams.

Design, build, and maintain scalable enterprise full-stack applications using Java, Spring Boot, microservices, and modern front-end frameworks. Implement cloud-based solutions on AWS, contribute to CI/CD and DevOps automation, optimize performance and security, and integrate AI-driven capabilities using Python and orchestration tools like LangChain and LangGraph.

Design, build, and maintain scalable Azure data pipelines and platforms using Azure Databricks, Synapse, Data Factory, and Microsoft Fabric. Implement IaC (Bicep/ARM/Terraform), CI/CD with Azure DevOps, monitor platform stability, optimize Spark jobs, and collaborate with architects and stakeholders to meet business requirements.

Design, implement, and maintain automated and manual tests across unit, component, integration, and end-to-end levels. Build scalable test frameworks, automate UI and API tests, run performance/load tests, produce test reports, report regressions, and collaborate with agile teams to influence design and ensure product testability and scalability.

Design, build, and maintain scalable production data pipelines and APIs in a Databricks/Spark environment. Integrate and transform diverse health, financial, and operational datasets into reusable data products, implement data validation and governance, optimize pipeline performance, and collaborate with engineers, architects, and stakeholders to deliver reliable analytics datasets and platform capabilities.