Top Remote Python Jobs in Miami, FL

Lead the architecture and evolution of managed Kubernetes and cloud-native services. Provide cross-team technical oversight, standardize platform practices, integrate open-source technologies, improve scale, performance, security, and operational efficiency, and mentor engineering teams. The role requires expertise in Kubernetes-based platforms, container runtimes, cloud-native architectures, and Go, Python, or Bash.

Drive technical strategy and roadmap for Affirm's Online Storage platform. Design and build multi-region, highly available datastore solutions and control planes for hundreds of databases. Automate schema migrations, disaster recovery, sharding, and performance tuning. Collaborate with product, SRE, and infrastructure teams, own operations and on-call readiness, and mentor engineers while setting code and design standards.

Lead and set technical strategy for the Order Platform powering post-checkout flows (orders, captures, refunds, settlement). Design and ship highly available backend systems, own reliability/operational practices, mentor engineers, collaborate cross-functionally, and drive long-term technical decisions and execution plans.

Lead architecture and hands-on development of the end-to-end video pipeline (live ingest, transcoding, storage, playback, and developer SDKs). Mentor engineers, collaborate across mobile/web/ML/platform teams, own monitoring and on-call support, and help scale video streaming and VoD capabilities for millions of streams and clips.

Design and implement real-time audio, video, and voice AI applications with customer engineering teams. Build integrations, prototypes, reference implementations, and scalable architectures; guide customers on APIs, SDKs, infrastructure, and deployment. Troubleshoot production issues, lead technical workshops, translate customer needs into product insights, and contribute to LiveKit’s open-source ecosystem. The role requires strong backend or infrastructure engineering experience, customer-facing communication, and fluency in Spanish and English.

Design and implement real-time audio, video, and voice AI applications with customer engineering teams. Build integrations, prototypes, reference implementations, and scalable architectures; support SDKs, APIs, infrastructure, and deployment strategies; troubleshoot production issues; lead technical workshops; and provide customer insights to Product and Engineering. Contribute to LiveKit’s developer experience, tooling, documentation, and open-source ecosystem. Fluency in Spanish and English is required.

As a Senior Data Engineer, you'll design data architecture, manage data pipelines, develop secure production code, and collaborate with cross-functional teams to innovate healthcare technology solutions.

Work across frontend and backend to design, build, and ship annotation and review features; implement ingestion, storage, user management, and annotation pipelines; integrate model inference into workflows; optimize performance for large images/videos; design APIs and collaborate with product, operations, and annotators.

Design and build scalable backend systems, data pipelines, and cloud infrastructure. Own CI/CD, containerization, databases, and reliability; collaborate with tech leads to deliver secure, production-grade solutions for startups in a fully remote environment.

Design, build, and operate internal developer platforms, CI/CD pipelines, developer environments, deployment workflows, and shared services. Create automation and custom tooling, prototype and productionize AI-assisted engineering workflows, strengthen cloud and container foundations (Kubernetes, IaC), instrument platforms with telemetry, and own platform projects end-to-end including rollout, adoption, and on-call.

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.

Define and drive Payments technical strategy and architecture for rails, routing, and funds-flow systems. Lead large cross-team initiatives, ensure financial correctness, improve reliability and cost via observability, mentor senior engineers, and align stakeholders across product, risk, and regulatory teams.

Develop Canvas and Model-Driven Power Apps for web and mobile, automate workflows with Power Automate, and integrate data from Dataverse, SharePoint, SQL Server, and external APIs. Build Power BI dashboards, troubleshoot performance and bugs, manage security roles, gather requirements, train users, and maintain applications. The role also involves Power FX and optional pro-code development using JavaScript, HTML, CSS, or C#.

The Senior Software Engineer for the Treasury team will develop backend services for fund management, ensuring system reliability and leading projects in a fast-paced environment.

Design, administer, optimize, and govern an enterprise Databricks Lakehouse Platform. Responsibilities include managing workspaces, Unity Catalog, compute, workflows, data pipelines, security controls, observability, performance, cost optimization, CI/CD, infrastructure automation, disaster recovery, and platform upgrades. The role also supports audits, compliance, troubleshooting, documentation, technical standards, and mentorship while integrating Databricks with enterprise data, business intelligence, and AI/ML environments.

Build and scale Cresta’s no-code conversation intelligence platform across the frontend and backend. Responsibilities include creating visual workflow editors, backend services and APIs, data models, storage layers, and scalable systems using React, TypeScript, Python or Go, Postgres, ClickHouse, and Elasticsearch. Collaborate with product, design, and AI/ML teams to deliver intuitive experiences for non-technical users while improving performance, reliability, security, and maintainability.

Own quality engineering for high-throughput payment systems by architecting automated regression, performance, stress, and load testing. Build emulators for external payment systems, integrate quality gates into CI/CD pipelines, validate microservices, event-driven architectures, and databases, and use Prometheus and Grafana for observability. Apply AI-assisted testing, synthetic data generation, and edge-case analysis while mentoring engineers and preventing incidents through telemetry-driven testing and post-mortems.

Build full-stack prospect demo solutions for ecommerce search and discovery products. Develop JavaScript data collection tools, front-end integrations, ETL workflows, dashboards, alerts, and open-source UI libraries and REST clients. Validate prospect data, support integrations, answer technical questions, collaborate with sales and product teams, and contribute to automated testing, code reviews, and demo infrastructure.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Build and maintain reliable, secure, scalable backend systems for Lithic’s product platform. Own projects end to end across API key management, reliability, audit logging, search, and API infrastructure. Improve system reliability, reduce technical debt, participate in on-call rotations, and lead team process improvements while collaborating asynchronously across time zones.

Build and operate highly scalable storage infrastructure supporting petabyte-scale imagery data. Responsibilities include developing backend services and APIs, managing object storage and metadata indexing, tuning Elasticsearch, improving disaster recovery, monitoring performance, responding to incidents, contributing to architecture and roadmaps, and advising engineers. The role requires strong production software engineering experience with Go or Python, cloud-native systems, relational and non-relational databases, and highly available services.

Lead and grow a backend/platform engineering team building API-driven systems and core services. Own technical direction, architecture, reliability, and integration with product, data science, and infrastructure. Hire and mentor engineers, contribute to code and architecture, support incident response, and ensure scalable, secure, production-ready backend APIs and platform tooling.

Own and operate low-latency network infrastructure for trading systems, including colocation connectivity, exchange feeds, L2/L3 topology, BGP and OSPF routing, PTP synchronization, firewall policies, automation, packet analysis, documentation, and incident response. The role involves designing infrastructure from scratch, managing vendors, building Python tooling, and participating in on-call support within a small network engineering team.

Build scalable full-stack applications integrating healthcare insights with browser-based and Windows EHR systems. Develop products using FHIR and HL7 interoperability standards, collaborate on technical roadmaps, and implement performant solutions. Mentor junior engineers, conduct code reviews, make technical decisions, and partner with engineering, product, and business stakeholders using Agile processes.

Build and scale Daymark Health’s cancer care platform across the stack. Responsibilities include developing secure infrastructure and core systems, collaborating with product, data, operations, and customers, integrating workflows, following HIPAA and SOC 2 controls, handling PHI securely, and using AI coding tools to accelerate development. The role requires contributing to technical strategy, improving user experience, and adapting quickly in a startup environment.