Top Python Jobs in Miami, FL

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.

Build and optimize backend data pipelines and calculations for 7M+ securities using Python/Django. Implement Airflow pipelines, pandas/Celery-based async calculations, database query tuning, caching, scalable data models, incident investigation, code reviews, and cross-team collaboration to ensure timely, accurate financial data.

Lead architecture, modernization, and development of Group Insurance applications. Modernize mainframe monoliths into Java microservices and micro-frontends on cloud, mentor distributed Agile teams, collaborate with enterprise architecture, product owners and infrastructure, and enable test automation and integrations. Approximately 10% domestic travel.

Serve as the technical lead for partner integrations of DNSid: design and build production-grade integrations, run POCs and workshops, produce enablement materials, translate partner requirements into product feedback, and own the path from demo to deployment while collaborating with product, standards, and engineering teams.

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.

Design, build, and operate distributed platforms, backend services, APIs, and data systems to support quantitative research, large-scale simulations, AI applications, and analytics. Improve performance, reliability, and scalability while collaborating with researchers to productionize research workflows.

The role involves leading application performance improvements across multiple platforms, focusing on measurable metrics and driving engineering standards and workflow optimization, using both hands-on coding and strategic influence.

The Senior Software Engineer will design, build, and maintain CI/CD pipelines, improve automation workflows, and mentor junior engineers in a security-focused development environment.

Build and own Eve's marketing site and GTM engineering stack: integrate and optimize external tools, design AI agents for sales and marketing, implement webhooks and middleware to sync product/CRM data, and create programmatic campaigns and internal tools in partnership with Marketing, Sales, RevOps, and Product to drive growth and automation.

The role involves providing technical leadership, hands-on execution, and cross-team influence in software engineering, focusing on solutions for scaling and performance challenges while using AI tools.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

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.

The Senior IT Infrastructure Engineer will enhance automation and integration efforts while managing cloud services, CI/CD pipelines, and Kubernetes operations.

Lead frontend-leaning full-stack implementation work for carrier and enterprise integrations: architect reusable UI and API layers, author RFCs, guide technical delivery, enforce testing and security best practices, and partner with cross-functional teams to scope and ship production integrations.

Own performance observability and testing for a microservices-based AWS SaaS platform. Design and run load/stress tests, analyze logs and metrics, define KPIs and CI/CD performance gates, forecast capacity risks, and collaborate with platform, security, and product teams to prevent customer-facing performance issues.

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 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.

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.

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.

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.