Top Remote Python Jobs in Miami, FL

Designs, deploys, and maintains secure, scalable AWS infrastructure using Terraform and GitLab CI/CD. Supports applications and managed-service users, monitors environments, troubleshoots incidents, manages IAM, and improves reliability through automation, observability, backups, upgrades, and disaster recovery practices. The role also documents environments, supports audits, collaborates with engineering and security teams, and participates in on-call operations.

Designs, deploys, administers, and troubleshoots Linux-based infrastructure supporting US Antarctic Program systems. Responsibilities include RHEL administration, virtualization, OpenShift clusters, backups, monitoring, security hardening, automation, DNS, Git, documentation, technical leadership, and 24x7 escalation support. The role may involve temporary Antarctic deployments and requires U.S. citizenship, Public Trust clearance, and NSF physical and dental examinations.

Own end-to-end technical delivery for strategic enterprise customers by designing and building production AI applications, integrations, workflow automations, and enterprise system connections. Write production code, configure the platform, manage authentication and security constraints, lead testing and go-live hypercare, troubleshoot integrations, and serve as the senior technical client contact. Partner with Product, Engineering, Post-Sales, and clients while developing reusable integration patterns and delivery documentation.

Own and improve 15Five’s AWS and Kubernetes infrastructure, databases, CI/CD pipelines, observability, reliability, disaster recovery, security operations, and AI platform. The role includes incident leadership, on-call participation, infrastructure automation with Terraform and Ansible, PostgreSQL administration, access and secrets management, compliance support, and cross-functional project delivery. This remote position requires strong ownership, communication, and the ability to independently deliver infrastructure, security, reliability, and AI governance initiatives.

Build AI-powered tools, scalable services, APIs, automations, and community experiences for Brilliant Black Minds. Lead projects independently from design through release, integrate LLM capabilities, and manage community operations including Discord moderation, member engagement, and study groups. Serve as the program’s sole engineer while translating community needs into reliable technical solutions.

Design, build, test, deploy, and operate scalable, secure Azure networking software and automation tools. Act as DRI, monitor production, troubleshoot incidents, run root-cause analysis, and drive reliability, performance, and cost improvements. Collaborate with PMs and architects, participate in design/code reviews, mentor engineers, and champion security, privacy, and compliance.

Build and maintain Supabase’s public Python SDK across database, authentication, storage, realtime, and edge functions. Develop natural sync and async APIs, manage typing, packaging, testing, release automation, documentation, and issue triage. Collaborate with cross-functional teams and open-source contributors, support multiple Python environments, maintain WebSocket functionality, and design migration paths for API changes. Work autonomously in a remote, asynchronous environment while making the SDK accessible to developers and AI coding agents.

Design, deploy, and maintain resilient AWS and Kubernetes infrastructure. Build automation, internal tools, CI/CD components, and AI-assisted operational workflows. Establish observability, SLIs, SLOs, and incident-management practices while leading postmortems and reducing toil. Ensure HIPAA compliance, review architecture, identify risks, and mentor engineers on reliability and platform best practices.

Designs, deploys, maintains, and secures cloud solutions across AWS, Azure, GCP, and OCI. Develops automation using Bash, PowerShell, and Python; monitors and tunes cloud platforms; maintains documentation and operating procedures; advises implementation teams; supports migrations and infrastructure buildouts; resolves escalations; and collaborates with internal and external stakeholders.

Lead and scale a lending engineering team responsible for reliable, secure, distributed financial infrastructure. Responsibilities include hiring and mentoring engineers, setting technical strategy, making architecture decisions, partnering with Product, overseeing delivery, and promoting testing, CI/CD, monitoring, incident response, and continuous improvement. The role requires backend development, cloud and event-driven systems experience, and a strong record of leading high-performing engineering teams.

Perform manual and automated testing for lending applications and services. Develop and maintain test automation, write functional, regression, and API test cases, participate in test planning and defect triage, and track issues through resolution. Collaborate with internal and external teams to ensure reliable, scalable, and performant software while contributing to a quality-focused engineering culture.

Develop scalable backend software for lending infrastructure supporting loan origination, funding, servicing, and sales. Responsibilities include designing software modules, writing and testing maintainable code, building distributed and event-driven systems, participating in code reviews, and collaborating with senior engineers and cross-functional teams. The role uses C# or Python, relational and document databases, AWS, Docker, and Kubernetes, with emphasis on reliable, compliant financial technology.

Design and develop scalable enterprise software for the Lending team. Build backend systems using .NET, Python, relational and NoSQL databases, messaging systems, Docker, and AWS. Plan, triage, and prioritize work while applying object-oriented programming, SOLID principles, domain-driven design, distributed systems, and event-driven architecture practices.

Build and ship full-stack product features using Python, Django, PostgreSQL, JavaScript, and Vue.js. Scale Kubernetes and AWS infrastructure, develop Selenium-based test and workflow automation, integrate APIs and CI/CD pipelines, and improve monitoring and observability. Collaborate with customers, clinical stakeholders, and internal teams to analyze workflows and deliver production-ready solutions in healthcare technology environments.

Operate and improve production cloud infrastructure across Azure and AWS. Implement cloud security controls, vulnerability remediation, monitoring, incident response, and SOC 2 compliance processes. Automate operations with scripting, Terraform or Bicep, and CI/CD pipelines. Support reliability, cost optimization, infrastructure integrations, documentation, and on-call resolution for mission-critical SaaS products.

Build and maintain AI agents, workflow automations, and integrations supporting sales, marketing, customer success, and revenue operations. Enhance K-12 account intelligence, automate CRM and revenue processes, deploy AI assistants, maintain trusted data flows, measure business impact, enable nontechnical users, and ensure compliance with FERPA, COPPA, and student-privacy requirements. The role requires hands-on HubSpot or Salesforce expertise, LLM and workflow automation experience, scripting, SQL, API integration, and GTM systems knowledge.

Lead the architecture, development, operation, and evolution of PlayStation’s real-time analytics platform. Build scalable distributed data systems using streaming and OLAP technologies, integrate batch and streaming workloads, improve reliability and performance, and develop AI-powered engineering capabilities. The role provides technical leadership across teams, mentors engineers, drives architecture and standards, resolves production incidents, and participates in on-call support.

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Lead engineering for a hyperscale deployment platform serving Microsoft 365 services. Design and deliver scalable deployment features across the full software lifecycle, mentor engineers, and drive automation and AI-powered solutions that improve reliability, efficiency, performance, and operational excellence. Collaborate with product managers and partner teams while ensuring high-quality, maintainable, production-grade software.

Designs, codes, deploys, and operates quantitative DeFi vault strategies across lending, yield aggregation, structured products, RWAs, and other protocols. Responsibilities include strategy research, backtesting, optimization, risk modeling, protocol due diligence, onchain execution, monitoring, incident response, and production ownership. The role partners on launches and participates in on-call coverage for live strategies managing customer capital.

Lead the architecture, technical strategy, and roadmap for Microsoft's Windows ML compiler stack. Design high-performance compiler infrastructure, execution engines, optimization frameworks, and developer tools supporting CPU, GPU, and NPU workloads. Drive NPU enablement, graph optimization, scheduling, memory management, code generation, and hardware abstraction. Partner with silicon vendors and internal teams, influence AI hardware and platform strategy, lead cross-team initiatives, and mentor engineers developing on-device and generative AI capabilities.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Leads the technical vision, architecture, and execution of AI performance, framework, benchmarking, and developer-productivity initiatives. Drives cross-team architecture, resolves complex systems trade-offs, mentors technical leaders, and contributes hands-on through prototyping, implementation, reviews, debugging, observability, and automation. Delivers measurable improvements in model onboarding speed, runtime performance, reliability, hardware utilization, and Azure capacity efficiency across models, frameworks, compilers, runtimes, systems, services, and hardware.

Builds AI and LLM observability capabilities across data ingestion, infrastructure, analysis, and product visualizations. The role develops systems surfacing cost, token usage, errors, and anomalies; contributes to data models; collaborates with product and design; and ships customer-facing SaaS features. Engineers participate in on-call rotation, experimentation, and fast feedback cycles, with opportunities to work on production LLM and agent-powered features.