Top Remote Python Jobs in Miami, FL

Lead the architecture team and manage technology decisions while mentoring architects, driving methodology, and collaborating with stakeholders on software architecture improvements.

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.

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.

As a backend engineer, you will enhance data collection systems to ensure reliability and scalability, working closely with engineering and mission teams.

As a Senior FPGA Verification Engineer, you will architect and develop test benches, verify code functionality, and prepare design review materials.

Design, build, and maintain reliable infrastructure for Yext's SaaS platform, collaborating with engineering teams to enhance performance, security, and operational efficiency.

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.

The Software Engineering Manager leads a full-stack team to develop SaaS applications for the insurance sector, focusing on architecture, collaboration, and best practices.

The Principal DevOps Engineer will architect the global cloud infrastructure, manage delivery pipelines, automate processes, and ensure operational health of a scalable distributed system. Responsibilities include designing AWS architecture, modernizing CI/CD pipelines, and developing monitoring dashboards.

The Senior Software Engineer will design and optimize recommendation algorithms, maintain data pipelines, and improve personalized user experiences using machine learning techniques and backend engineering skills.

The role involves designing and expanding backend systems, mentoring engineers, and executing technical strategies to modernize architecture and improve system performance.

The Backend Software Engineer will develop data ingestion pipelines, implement observability tools, and provide technical support while improving team collaboration.

As a Software Engineer II, you'll design and build backend services for a unified communications platform, collaborate with multiple teams, and manage medium-sized projects independently.

As a Product Security Engineer, you'll develop secure tools for engineering teams, conduct security reviews, and automate security processes to enhance Cedar's healthcare technology solutions.

Lead and grow a small Platform Testing team to define and execute a testing strategy that improves developer velocity and product reliability. Build cost-effective QA environments, implement service-to-service and configuration-driven testing, promote testing best practices, apply LLM-powered workflows, and partner with cross-functional stakeholders while managing hiring, coaching, and performance.

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.

Own reliability, automation, and DevOps for Coinbase's corporate IAM platform: on-call/incident response, CI/CD and IaC pipelines, identity lifecycle tooling, observability and disaster recovery, documentation, and cross-team IAM advisement to ensure secure, scalable access for a global workforce.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

The Senior Platform Engineer will enhance infrastructure reliability and observability, focusing on AWS, Datadog, and HashiCorp Nomad for optimized performance and cost efficiency while collaborating with engineering teams.

Lead the engineering team for product delivery at Runpod, focusing on customer-facing features while managing roadmaps, team growth, quality, and cross-functional collaboration.

As a Software Engineer II, you'll develop backend systems, support ML platform features, collaborate across teams, and ensure system availability.

Lead architecture and delivery of Control Center platform capabilities (MCP tool registries, AI orchestration, access automation). Design agentic AI integrations, HITL workflows, and evaluation/guardrail frameworks. Own backend services, SLOs, observability, incident response, and operational readiness for Tier-1 systems. Drive cross-team technical direction, author TDDs, run design reviews, mentor engineers, and partner with Product and Security to deliver secure, scalable platform primitives.

Lead long-term technical vision and roadmap for the Overseer platform to ensure correctness across Coinbase fund flows. Own architecture, design and delivery of real-time detection, invariant frameworks, and partner APIs. Drive cross-team alignment, set engineering standards, mentor engineers, lead P0 initiatives, and apply generative AI responsibly to scale automated guardrails and enforcement capabilities.

Build and maintain developer platform tooling, automation, CI/CD, and Go-based CLI to improve developer productivity, reliability, and scalability for Huntresssecurity products. Implement AI-enabled workflows, support deployments in Azure and containerized environments, and collaborate with product teams to optimize architecture and operations.

Design, build and maintain scalable data pipelines and automated workflows using Python, Airflow, DBT and cloud warehouses. Partner with Analytics, Sales and Marketing to deliver curated marketing datasets, enforce data quality through validation and CI/CD, and support production deployment and monitoring of Enterprise Data Lake/ODS solutions.