Top Python Jobs in Miami, FL

Implement and optimize RF DSP algorithms in HDL for real-time FPGA execution, prototype algorithms in Python and port to ARM SoCs, collaborate on instrument bring-up, calibration and system integration with RF hardware teams, author design documentation and test reports, and work in a hybrid Mountain View office.

Design, build, and maintain Python-based systems that interface with custom hardware. Own hardware drivers across serial/USB/I2C/SPI/Modbus, implement maintainable state machines, write async event-driven code, build RESTful APIs, persist device telemetry in SQL, contribute computer vision work, and collaborate with hardware, firmware, and operations while mentoring engineers and raising engineering standards.

Develop and maintain backend services for the Leap quantum-classical cloud platform. Deliver features across the SDLC, improve system performance and scalability, troubleshoot and resolve production issues, participate in code reviews and on-call rotation, mentor junior developers, and collaborate with cross-functional teams to ship reliable, high-quality software.

As a Founding Software Engineer, you'll architect and evolve core backend systems and streaming data pipelines, optimize performance and storage, and define data models to enhance AI deployment safety and performance in real-time environments.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

The Senior Enterprise Architect leads the design and implementation of network and cloud architectures, ensuring alignment with organizational goals and industry practices. Responsibilities include defining architecture frameworks, advising on cloud adoption, ensuring security compliance, and managing cross-functional teams.

Design, develop, and implement network automation solutions for GPON/XGS-PON and IP multi-vendor environments. Lead scripting (Python, Go), CI/CD pipelines, integrations, documentation, mentoring, and automation of provisioning, monitoring, and reporting to boost operational efficiency.

Lead full-stack development across Superset frontend and backend services. Design and ship end-to-end features, improve performance and scalability, own major technical initiatives, mentor engineers, set engineering standards, and collaborate with product, design, and the open-source community.

Build and scale a live ML data streaming analytics platform, lead greenfield real-time processing projects (Python/Rust), and design reliable backend services using cloud and orchestration tools.

Design, build, and optimize scalable real-time and batch data pipeline infrastructure. Develop backend features focused on reliability and performance, write well-tested code, review technical designs, and contribute to infrastructure across mobile, desktop, and server systems.

Design, build, and operate large-scale distributed web crawlers and data pipelines. Handle anti-bot systems and dynamic/JS-heavy sites, perform cleaning, deduplication, filtering, and normalization, and maintain datasets for model training while optimizing for cost, latency, and reliability.

Develop, maintain, and automate Twilio's Compute cloud infrastructure including scalable cloud-native environments, VM orchestration, hardened AMIs, ASG/EC2 management, container images, and OS libraries. Collaborate with architects and engineers, produce IaC-compliant implementations, author documentation and runbooks, participate in on-call rotation, and support legacy and new platform components using automation and best practices.

Owner of enterprise systems and automations: build and maintain Airtable bases and n8n integrations, write scripts and API/webhook integrations, administer NetSuite, monitor Snowflake pipelines, provide high-touch technical support, and document runbooks.

Build, ship, and maintain production-quality web and mobile products. Contribute across product, design, and engineering, own delivery, write modular testable code, and mentor teammates while iterating quickly to deliver business value.

Design, implement, and manage secure, highly available RHEL servers and Azure-based cloud solutions. Automate deployments with scripting, support Docker/Kubernetes pipelines, document systems, and adapt to new Azure resources to enhance capabilities for developer groups and military customers.

Lead Leap's engineering function: hire and scale a high-performing team, own the technical roadmap and architecture, build AI-native data and production ML systems (LLMs/agents), and deliver correct, auditable healthcare workflows for drug identity, causal attribution, and intervention automation.

The Staff Software Engineer will lead AI integration into software design, develop scalable systems, and mentor other engineers while improving best practices.

Join our remote R&D team to innovate in graphics and spatial computing, implementing advanced techniques for immersive streaming applications.

The DevOps Engineer at TensorWave will develop platform integrations, build services and tools for automation, and ensure reliable system performance across multiple infrastructure systems, focusing on production-quality software development.

Support customer and partner relationships by demonstrating radar value, lead integrations with C2/VMS/autonomous platforms, plan and execute installations, tune systems, provide technical support, analyze post-demo data, create training materials, collect feedback, and travel up to 50%.

As a Full-Stack Engineer, you'll design and build AI-powered applications, develop front-end interfaces, and scalable back-end services for enterprise users while collaborating with research and product teams.

As VP of Engineering, you'll architect and oversee decentralized trading features, microservices, and DevOps while mentoring engineers and driving tech choices.

Embed with enterprise customers to scope, build, and deploy automations on the Kognitos platform. Translate undocumented processes into production-grade automations, build integrations with ERPs/APIs/databases, debug production issues, own technical relationships, and feed field learnings into product and engineering. Travel to customer sites as needed.

The Backend Engineer will develop high-performance trading systems, optimize algorithms, work with distributed architectures, and ensure system reliability and scalability while collaborating on blockchain-related technologies.

The Senior Full-Stack Engineer will develop and ship features across frontend and backend systems, work with various frameworks and databases, write specifications, and improve development processes.