Top Remote Python Jobs in Miami, FL

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.

Design, build, and improve scalable backend systems that collect hard-to-access OSINT; build pipelines and ETL for messy data; collaborate with product and mission teams; mentor engineers and ensure reliable data delivery for DoD workflows.

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.

Build, operate, and scale backend systems for card issuing and transaction processing. Break down projects, collaborate with product and cross-functional teams, write tested extensible code, support monitoring and on-call operations, and participate in team growth activities including interviews.

Lead design and implementation of Affirm's Lakehouse Platform using Iceberg, Spark, Snowflake, and cloud storage. Drive platform roadmap, governance, access controls, performance and cost optimization, analytics engineering best practices, observability, and on-call readiness. Partner cross-functionally, mentor engineers, and build scalable, secure, self-service data infrastructure and semantic/agentic data tools.

Lead technical strategy and execution for multi-quarter initiatives; build and maintain AI-driven systems; mentor and raise the technical bar across teams; collaborate cross-functionally; ensure data security and HIPAA-compliant practices; operate in an AWS + Kubernetes environment while introducing new technologies as system load grows.

As a Senior Software Engineer in Trust & Safety, you'll analyze threats, design systems for abuse detection, and collaborate with teams to implement scalable defenses.

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, and maintain Airflow-based automation pipelines and services to move files, run scheduled FTP jobs, validate and modify data, monitor application health, parse logs/emails, implement robust error handling and observability, and integrate API-driven systems to reduce manual operational work.

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.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

The Lead Architect will develop backend services, oversee integration with imaging facilities, set coding standards, mentor engineers, and ensure fault-tolerant systems while adhering to healthcare data standards.

Build and ship production-grade agentic AI developer tools and a coding harness to modernize legacy systems. Design integrations across source control, CI/CD, security scanners, and cloud services. Partner with customers and product teams to iterate on AI-native workflows, ensure cybersecurity compliance, and scale agentic systems for defense missions.

The Sr Staff AV Behavior Safety Engineer leads safety validation for GM's autonomous driving systems, influences launch decisions, and collaborates across teams for safety standards and performance metrics in AV behavior development.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

The role focuses on implementing cost optimization solutions for cloud infrastructure through automation and collaboration across teams, enhancing FinOps practices.

Perform CFD and 1D lumped-parameter fluid analyses for rocket engines, predict component and system performance, build transient and steady models, support testing and anomaly investigations, recommend design improvements, and mentor peers to grow propulsion fluid-analysis capabilities.

Senior technical owner of an existing NetSuite ERP: provide Tier 2/3 production support, triage and permanently resolve incidents, build and optimize SuiteScript 2.x and SuiteFlow customizations, maintain integrations (Deposco WMS, Salesforce via Jitterbit), manage SDF sandbox-to-production promotions, monitor performance, ensure release readiness, author runbooks, and operate under ITGC/SOX-adjacent change management with on-call responsibilities.

Own and implement platform initiatives to improve scalability, reliability, and developer experience. Automate infrastructure with IaC, operate Kubernetes and CI/CD pipelines, build developer tools, monitor platform resilience, participate in incident response, and influence architecture and processes as you grow.

Lead design and delivery of a reliability platform for production systems. Own quarterly goals, guide engineers through ambiguity, collaborate with PM/design/analytics, monitor and operate services (on-call), set quality and code standards, and mentor teammates. Integrate AI/LLM tooling to improve automation, debugging, and service health.

Lead delivery for the Batch Infrastructure team: design, build, and operate reliable, scalable compute platforms for scheduled and on-demand batch workloads. Collaborate with product/design/analytics, define technical plans, ensure availability (monitoring/on-call), set code and design standards, and mentor engineers to improve delivery and quality.

Lead design and build of scalable backend systems and data platforms; own architecture and production deployments; improve reliability, performance, and observability; mentor engineers and collaborate with Product, Data Science, SRE, and Security.

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.