Top Remote Python Jobs in Miami, FL

Analyze emerging AI workloads and build analytical performance models and architecture simulators for current and future AI inference accelerator hardware. Collaborate with hardware, compiler, inference server, kernel, and product teams to validate assumptions, identify HW/SW optimization opportunities, incorporate architecture research, and document methodologies. The role is a hands-on technical contributor focused on performance analysis across the hardware/software boundary.

Design and deliver full-stack applications spanning user interfaces, data models, APIs, backend services, cloud infrastructure, and AI-enabled workflows. Build vector-store and RAG capabilities, deploy Azure services with Terraform and containers, and contribute to architecture, technical roadmaps, code reviews, testing, and system operations. Collaborate directly with business stakeholders to understand needs and deliver scalable, secure, enterprise-grade software. The role also involves identifying patentable innovations, preparing disclosures, and supporting patent prosecution.

Lead architecture and hands-on implementation of a full-stack platform and production AI systems (LLM integration, RAG, agentic workflows). Ship user-facing features across frontend, backend, data pipelines, infrastructure, testing, and monitoring. Set technical direction, tooling, and engineering practices while partnering with product and program teams.

Build and scale backend APIs, services, event-driven workflows, queues, data models, caching, and integrations serving millions of users. Lead complex technical initiatives from discovery through production, improve reliability and performance, debug cross-system issues, and optimize databases and infrastructure interactions. Partner across Product, Design, Infrastructure, Platform, Data, and Support while mentoring engineers, influencing technical decisions, and raising engineering quality standards.

Own and scale Adobe Experience Platform and Real-Time CDP implementations. Design data collection architecture using Web SDK, Edge Network, and datastreams; govern XDM schemas, identity, datasets, and data quality. Develop tagging, CJA connections and views, audience activation, privacy frameworks, and event-driven data layers. Troubleshoot ingestion and identity issues, integrate Adobe ecosystem tools and downstream systems, and collaborate with stakeholders on scalable technical solutions, governance, documentation, and enablement.

Design and implement automated test frameworks and data validation utilities for enterprise data platforms. Validate data transformations, pipelines, lineage, and performance across Databricks, Snowflake, Spark, Hadoop and cloud environments. Integrate tests into CI/CD, perform white-box and performance testing, investigate production defects, and collaborate with Data Engineering, Analytics, and business stakeholders to ensure P&C insurance data quality and regulatory readiness.

Manage and grow a product engineering team at a remote cloud cost-management software company. Lead prioritization, delivery, quality standards, recruiting, and cross-functional collaboration with product, design, and leadership. Help engineers ship customer-focused features spanning spend management, interfaces, data pipelines, visualizations, and application performance. Coach engineers, remove blockers, promote ownership, and guide tradeoffs between velocity and quality.

Design and build cloud cost-management capabilities, including forecasting, anomaly alerts, cost allocation, data pipelines, transformation models, visualizations, and reusable UI components. Own features end to end from planning through release while improving application reliability and performance. Collaborate closely with engineers and founding team members, contribute to technical design and roadmap decisions, and work pragmatically in a fast-moving distributed startup environment.

Develops and maintains GIS solutions supporting the U.S. Coast Guard, integrating geospatial data, ArcGIS systems, web services, and enterprise platforms. Translates operational needs into technical requirements, designs and implements software, troubleshoots production issues, performs system integration, evaluates tools, and supports documentation. The role collaborates with project teams, government stakeholders, end users, developers, and geospatial professionals, while occasionally leading development projects and directing team members.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

Provides mainframe patch-management expertise using SMP/E and z/OSMF. Responsibilities include CVE reporting, patch automation, response modeling, validation cadence, package stability reviews, dashboard improvements, baseline dataset development, vulnerability-tool integration, and secure patch deployment. The role also develops AI-driven prompts and automation for testing, RFB validation, and impact analysis while supporting z/OS and ISV software installation, maintenance, customization, and testing.

Validate and implement AI fencing controls across z/OS environments through adversarial testing, monitoring, alerting, forensic analysis, and sanitized validation. Design disruptive AI testing labs, test non-privileged user operations, support secure AI adoption, and assess GenieZ production readiness. Requires deep z/OS internals expertise, catalog management, USS security, software installation, complex troubleshooting, advanced testing, REXX, Python, and 10+ years of experience.

Technical lead for public-facing gRPC APIs and SDKs powering provider search, ranking, and dynamic copay lookups. Own API design, versioning, ranking/steerage logic, and reliability at scale. Write and review code and designs, mentor engineers, drive technical direction, partner with product and partner engineering, and support production operations and scaling decisions.

Leads the design, development, testing, deployment, and maintenance of scalable full-stack web applications. Coordinates frontend and backend developers, translates requirements into technical plans, reviews code, mentors engineers, assigns tasks, monitors delivery, troubleshoots technical issues, and contributes to architecture decisions. Oversees APIs, databases, integrations, deployments, releases, security, performance, documentation, and application improvements while collaborating with product, design, and business teams.

The Staff Engineer will lead cross-functional teams, focus on AI development practices, ensure scalable engineering, and evolve system architecture at ParentSquare.

As a Gameplay Engineer, you'll design and refine networked gameplay systems, iterate on features, and collaborate with designers and back-end engineers.

The Engineering Leader will oversee the architecture and reliability of AI improvement products, focusing on backend systems, scalability, and technical leadership.

The Senior Backend Software Engineer will design and scale backend systems using Python and FastAPI, collaborate with researchers, optimize infrastructure, and implement testing and monitoring systems.

Develop scalable web applications using React and Next.js, implement backend solutions in Python, maintain DevOps practices, and collaborate with AI/ML teams to deploy applications.

As an Embedded Perception Engineer, you'll develop perception pipelines for autonomous systems, focusing on vision model development, sensor fusion, and optimization on embedded hardware.

Lead the development of analytics infrastructure for clinical AI/ML products, focusing on product performance monitoring, data management, and cross-functional collaboration.

As a Forward Deployed Engineer, you will work with GTM teams, helping them maximize the use of Endgame's AI platform, build customer relationships, and drive adoption while influencing product direction.

The Senior Backend Engineer develops core product features in ETL and GraphQL, designs APIs, builds ETL pipelines, and collaborates with frontend teams.

This role involves owning and evolving the backend platform for AI employees, mentoring engineers, optimizing system performance, and driving architectural decisions at Supernal.

The Senior MLOps Engineer will deploy scalable ML services, optimize resources, manage cloud storage, integrate advanced ML techniques, and set up monitoring solutions, while also automating CI/CD pipelines and workflows.