Top Remote Python Jobs in Miami, FL

Lead design and prototyping of generative AI experiences for autonomy development; drive UX for Hivemind products; perform user research, collaborate with CTO and product leads, and deliver reference implementations and integrations across full-stack web and edge systems.

Design and implement full‑stack, low‑latency web-based Ground Control Station and C2 systems (map-centric UIs, real-time telemetry, video streaming), lead architecture and APIs, mentor engineers, support field tests and mission deployments, and ensure interoperability with C2 standards.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

Design and build end-to-end web and AI-powered dashboard features, scale cross-platform full-stack infrastructure, standardize product patterns, mentor engineers, lead cross-team technical projects, and collaborate with product and design to improve user workflows and AI adoption.

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Lead end-to-end technical integrations with enterprise healthcare customers from pre-sales through production. Scope and deliver architecture, POCs, API integrations, data mappings, and runbooks. Ensure AI/ML features meet regulatory and clinical safety standards, build reusable integration patterns, collaborate cross-functionally, and mentor junior engineers to drive successful go-lives.

Own technically complex, mission-critical areas and define technical strategy for new products. Design and ship full‑stack, AI‑driven features end‑to‑end, build scalable data ingestion and API systems, partner with product/design/customer teams to translate ambiguous problems into measurable outcomes, mentor engineers, and raise engineering quality and standards across the organization.

Design, build, operate, and improve cloud infrastructure, deployment systems, observability, developer tooling, and distributed systems. Own infrastructure products end to end, manage systems with Terraform, support scalable AWS and Kubernetes environments, operate Redis/ElastiCache, participate in incident response, improve reliability and performance, and mentor engineers while collaborating across teams.

Owns production reliability for high-throughput, low-latency systems, including observability, SLOs, incident response, capacity planning, infrastructure as code, progressive delivery, chaos testing, and operational tooling. The role requires hands-on software and infrastructure engineering, production Redis/ElastiCache expertise, cloud infrastructure knowledge, security awareness, mentoring, and participation in on-call operations.

Develop scalable Java Spring Boot APIs, microservices, React-based interfaces, ETL pipelines, and SQL data solutions. Deploy workloads on AWS, optimize performance, implement monitoring and automation, and collaborate with product, frontend, data, and DevOps teams. The role also contributes to architecture, accessibility, reliability, and data-driven product improvements.

Build and operate full-stack, cloud-native applications for network automation and mission platforms using Python, Go, JavaScript, and TypeScript. Develop APIs, AI agents, generative user interfaces, integrations, and telemetry workflows. Contribute to CI/CD, Infrastructure as Code, containerized deployments, production troubleshooting, security, observability, and architecture. Collaborate across software, cloud, platform, product, and security teams in an ambiguous, mission-focused environment.

Leads complex network and infrastructure solution development from customer requirements through architecture, implementation, deployment, operations, and sustainment. Provides technical leadership, customer engagement, proposal support, solution presentations, team coordination, mentoring, risk management, and delivery accountability across enterprise, tactical, government, and commercial environments. Integrates networking, software, automation, cloud, cybersecurity, service management, and observability technologies while supporting classified and sensitive programs.

Leads and develops a team building growth-critical platforms, AI-driven tools, automations, and infrastructure. Collaborates with Product and Design, guides architecture and implementation, manages execution, improves team processes, and partners with engineering leaders. The manager remains hands-on, writing production-grade backend code, using AI tools, and promoting quality, reliability, accountability, and team autonomy across distributed teams.

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 and operate scalable backend services for connected devices, including device connectivity, telemetry ingestion, health monitoring, command and control, and data pipelines. Collaborate with firmware, mobile, and product teams on APIs and workflows. Use AWS, microservices, streaming systems, observability tools, and AI coding agents to deliver reliable features, participate in incident response, and improve automation and engineering practices.

Develop and maintain Medicare claims-processing software in a legacy mainframe environment using COBOL and related technologies. Responsibilities include coding, debugging, unit testing, requirements analysis, defect resolution, software installation, technical documentation, and Agile/Scrum collaboration. The developer will support DME contract operations, deliver moderate-complexity solutions, estimate tasks, and coordinate with team members, clients, vendors, and other organizations.

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.

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.

Build, administer, and optimize enterprise Databricks data platforms in Azure. Responsibilities include platform operations, Terraform-based infrastructure automation, data ingestion enablement, governance through Unity Catalog, access controls, monitoring, troubleshooting, incident response, and reliability improvements. The role partners with data engineers, architects, analysts, infrastructure, and security teams to support scalable production analytics and data workloads.

Leads architecture and development for Akamai’s global connectivity platform. Designs software-defined network automation, eliminates operational toil, builds telemetry and observability systems, establishes CI/CD and SDLC practices, and guides capacity planning and cost optimization across routing, network fabric, and edge security systems. The role also mentors engineering teams and drives reliability engineering standards across the organization.

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.

Serves as the strategic architect and technical lead for enterprise observability, APM, telemetry, and SRE ecosystems. Designs unified monitoring across hybrid cloud, Kubernetes, and legacy environments; establishes SLOs, SLIs, error budgets, and incident-response practices; leads automation using Ansible, Terraform, Python, and GitOps; and develops secure, scalable telemetry pipelines. The role also leads FOAK implementations, monitoring migrations, vendor transitions, knowledge-transfer programs, major incident escalations, operational handoffs, and engineering-team mentoring.

Leads major technical initiatives while designing enterprise identity systems, authorization models, and scalable multi-tenant SaaS architecture. Builds platform components with .NET/C# on AWS, improves data pipelines, resolves complex production issues, and shapes the technical roadmap. Mentors engineers, drives architecture and reviews, coordinates across teams, and supports security, compliance, automation, and continuous platform improvement.

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.

Design and scale reliable spine-leaf data center networks supporting GPU clusters and AI workloads. Build Ethernet fabrics using EVPN/VXLAN and BGP, optimize traffic, support RoCE/RDMA, and manage backbone, WAN, DCI, and edge connectivity. Develop network automation and Infrastructure-as-Code solutions, improve observability and telemetry, troubleshoot distributed performance issues, and collaborate with compute, storage, platform, and operations teams. The role requires hands-on Cumulus NOS expertise and experience with large-scale, high-performance infrastructure.