Top Remote Python Jobs in Miami, FL

Lead architectural strategy and modernization for large-scale distributed systems. Design modular, extensible services, migrate legacy monoliths to microservices, optimize AWS infrastructure and costs, document and visualize systems, facilitate cross-functional design, mentor engineering teams, and scout emerging technologies.

Lead design, build, and scale GridUnity's cloud SaaS platform. Own end-to-end features, mentor engineers, drive architecture, improve scalability, reliability, security, and data practices while collaborating with product teams.

Work on a DevOps/SRE platform team to build and maintain Kubernetes clusters, IaC, CI/CD pipelines, identity management, monitoring, certificate lifecycle, and security compliance. Troubleshoot deployments, support on-call incidents, document runbooks/ADRs, mentor junior engineers, and contribute to strategic platform planning and automation to ensure a reliable, secure, and scalable cloud platform.

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

The role involves developing and maintaining Oracle HCM integrations, ensuring the accuracy and security of data flows, and mentoring junior developers.

The Senior Oracle Payroll Integrations Developer will design, develop, and maintain integrations across payroll systems, ensuring data integrity and compliance while optimizing performance and scalability.

Design, automate, deploy, and operate large-scale software-defined storage and Kubernetes platforms in a private cloud. Build IaC and GitOps workflows (Ansible, Terraform, Helm, Git), implement CI/CD for infra, manage backups, monitoring, and observability, troubleshoot cross-domain issues, participate in on-call/incident response, and produce runbooks and documentation.

Design, implement, and operate large-scale DNS and multi-tenant Kubernetes infrastructure in private cloud. Automate provisioning with IaC (Ansible, Terraform/Pulumi, Python), build CI/CD and GitOps pipelines, implement monitoring/alerting (Prometheus/Loki/Grafana), harden for HA and DR, perform deep troubleshooting across storage, hypervisors and networking, participate in on-call incident response, and collaborate on change management with global teams.

Operate and lead data-center LAN infrastructure in a 24/7 SaaS environment. Own troubleshooting, incident response, and change management across Cisco Nexus, Palo Alto, and F5 platforms. Drive projects, architecture (VXLAN/EVPN), automation (Ansible, Terraform, Python), observability (Prometheus, Grafana, SolarWinds), and cloud networking (AWS, GCP). Mentor junior engineers, participate in on-call rotation, and define operational standards, reliability metrics (SLI/SLO), and preventive engineering.

Architect, implement, and operate a multi-tenant OpenStack private cloud. Automate provisioning with Ansible/Terraform/Pulumi, extend core OpenStack services, build CI/CD update pipelines, implement monitoring/observability, harden for HA and DR, perform deep troubleshooting, and participate in on-call incident response and upstream contributions.

Design, build, and maintain full‑stack features across frontend (TypeScript + React) and backend (Python, Node.js, or JVM languages). Own end-to-end development, testing, CI, databases, and cloud/distributed systems. Mentor engineers, participate in code reviews and pair programming, and work in an agile, remote team.

Senior full-stack engineer responsible for designing and building end-to-end features across frontend (TypeScript + React) and backend (JVM languages, Python/Node.js). Owns code quality, testing, CI, and collaborates in agile teams. Mentors junior engineers, participates in code reviews and pair-programming, and works with cloud, databases, and distributed systems. Remote role with occasional in-person meetups.

As a Senior Software Engineer at Vanta, you will design and build internal tools for go-to-market teams, focusing on applications that enhance sales and customer engagement, employing modern tech and AI workflows.

Design, build, and maintain AI-driven automations and integrations across Zendesk, Salesforce, ClickUp, and chatbots to reduce manual support work, improve CX, and measure automation impact. Own end-to-end lifecycle, monitor reliability, iterate with stakeholders, and expand LLM capabilities and reusable AI patterns.

Lead and sustain large-scale HPC systems supporting NOAA/NWS forecasting. Manage scheduler/software stack (PBS Pro/Slurm), optimize performance and throughput, troubleshoot multi-node Linux clusters, develop scripts, and support 24/7 operations with occasional travel and on-call duties.

Lead post-sales integrations for Element451: validate SOWs, architect and scope SIS and other integrations, run engineering delivery through build/UAT/go-live, operate maintenance and live support, set processes/tooling, partner with Product to productize integrations, and measure delivery KPIs.

Serve as a technical partner between Customer Success and Engineering to resolve complex enterprise escalations, debug live production systems, perform root cause analysis, build scripts and diagnostic tools for self-service, and participate in a rotating on-call schedule to ensure fast, expert client resolution.

Design, build, and maintain scalable automated workflows and integrations using platforms like n8n, Zapier, Make, or Workato. Integrate systems via APIs/webhooks, troubleshoot workflow issues, monitor performance, document processes, and support data synchronization across CRMs and business tools while collaborating with cross-functional teams.

Design, build, and operate scalable, secure cloud infrastructure and CI/CD pipelines. Manage Kubernetes environments, implement IaC (Terraform), improve observability, troubleshoot production issues, support security/compliance, and mentor junior engineers to optimize platform reliability and cost.

The AEM Technical Lead will oversee AEM environments, implement CI/CD pipelines, manage cloud services, and guide teams on best practices.

The AEP Engineer will deliver complex projects using Adobe Experience Platform, collaborating across teams to ensure high-quality software and compliance while utilizing AI capabilities.

Design reproducible coding environments and high-quality reference solutions to train AI. Create and validate complex programming challenges, debug and optimize codebases, refactor legacy systems, document technical decisions, and review technical submissions while collaborating remotely.

The Senior Software Engineer will design and implement backend solutions for a social casino platform, collaborate with team members on architecture, and review code, while ensuring the product meets user needs.

Design APIs, build scheduling algorithms for GPU utilization, create resource management systems, and collaborate with frontend engineers for AI infrastructure.

Research Engineers will build QA systems for training data, define quality standards, audit datasets, and collaborate with data vendors to enhance data generation processes.