Top Python Jobs in Miami, FL

Leads architecture, provisioning, automation, performance validation, and day-two operations for large-scale NVIDIA GPU clusters and AI compute environments. Designs repeatable bare-metal and Kubernetes-based infrastructure using schedulers, monitoring, networking, and infrastructure-as-code. Serves as the technical authority for DGX, HGX, MGX, NVL72, and Cisco AI POD deployments, while supporting pre-sales discovery, bills of materials, solution estimates, client workshops, and executive-level communication.

Architects and deploys high-performance NVIDIA InfiniBand and Spectrum-X Ethernet fabrics for AI infrastructure. Responsibilities include fabric topology, routing, congestion control, RoCEv2, DPU offload, telemetry, automation, cabling, optical validation, performance testing, and infrastructure-as-code. Leads client delivery, pre-sales scoping, bills of materials, technical workshops, and integration with enterprise networks. The role requires translating complex network architectures into scalable deployments and commercial outcomes.

Design, build, and maintain scalable, highly available AWS cloud infrastructure for healthcare SaaS services. Develop Infrastructure-as-Code deployments and CI/CD pipelines across environments, manage Kubernetes and serverless workloads, and own monitoring, alerting, observability, disaster recovery, and backups. Strengthen cloud security through IAM, WAF, KMS, secrets management, certificates, and logging. Contribute to system reliability, documentation, and on-call support while collaborating on secure, cost-efficient infrastructure solutions.

Validate and characterize high-speed analog and mixed-signal IPs, test chips, and ASIC products. Develop automated lab scripts and 24/7 testing flows, configure devices, operate measurement equipment, analyze results, debug hardware, review PCB and package designs, document test procedures, support reliability and ATE testing, and collaborate with design and system teams.

Develops electrical, optical, and thermal test plans, algorithms, hardware, software, and automated production test solutions for photonic integrated circuits. Responsibilities include device characterization, instrument control, motion and vision systems, test station qualification, Gage R&R, SPC, documentation, data analysis, troubleshooting, and cross-functional project coordination.

Designs and manages AWS cloud infrastructure and Amazon EKS platforms using GitLab CI/CD and Infrastructure as Code. Builds ETL workflows and scalable data pipelines for analytics and AI workloads, supports MLOps/AIOps and FinOps capabilities, troubleshoots Linux systems, and improves platform performance, security, scalability, and availability.

Lead the architecture and evolution of managed Kubernetes and cloud-native services. Provide cross-team technical oversight, standardize platform practices, integrate open-source technologies, improve scale, performance, security, and operational efficiency, and mentor engineering teams. The role requires expertise in Kubernetes-based platforms, container runtimes, cloud-native architectures, and Go, Python, or Bash.

Drive technical strategy and roadmap for Affirm's Online Storage platform. Design and build multi-region, highly available datastore solutions and control planes for hundreds of databases. Automate schema migrations, disaster recovery, sharding, and performance tuning. Collaborate with product, SRE, and infrastructure teams, own operations and on-call readiness, and mentor engineers while setting code and design standards.

Lead and set technical strategy for the Order Platform powering post-checkout flows (orders, captures, refunds, settlement). Design and ship highly available backend systems, own reliability/operational practices, mentor engineers, collaborate cross-functionally, and drive long-term technical decisions and execution plans.

Own and evolve a production Python pricing and decision engine on AWS. Lead supporting engineers, establish technical standards, implement scoring models and pricing rules, ensure data correctness, design experimentation, maintain integrations and observability, and coordinate with Product, DevOps, Data Engineering, Data Science, and QA. The role expands into machine-learning model deployment, analytics applications, data products, and analytics platform ownership.

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.

Design and implement real-time audio, video, and voice AI applications with customer engineering teams. Build integrations, prototypes, reference implementations, and scalable architectures; guide customers on APIs, SDKs, infrastructure, and deployment. Troubleshoot production issues, lead technical workshops, translate customer needs into product insights, and contribute to LiveKit’s open-source ecosystem. The role requires strong backend or infrastructure engineering experience, customer-facing communication, and fluency in Spanish and English.

Design and implement real-time audio, video, and voice AI applications with customer engineering teams. Build integrations, prototypes, reference implementations, and scalable architectures; support SDKs, APIs, infrastructure, and deployment strategies; troubleshoot production issues; lead technical workshops; and provide customer insights to Product and Engineering. Contribute to LiveKit’s developer experience, tooling, documentation, and open-source ecosystem. Fluency in Spanish and English is required.

As a Senior Data Engineer, you'll design data architecture, manage data pipelines, develop secure production code, and collaborate with cross-functional teams to innovate healthcare technology solutions.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Own the realtime and voice layer of an agentic AI travel assistant, including telephony integrations, speech pipelines, model orchestration, and low-latency performance. Build React and TypeScript front ends, Scala and Python services, and GCP infrastructure. Design multi-tenant systems, safety and compliance controls, observability, incident response, and partner integrations. Mentor engineers and contribute to architecture and code quality.

Work across frontend and backend to design, build, and ship annotation and review features; implement ingestion, storage, user management, and annotation pipelines; integrate model inference into workflows; optimize performance for large images/videos; design APIs and collaborate with product, operations, and annotators.

Design and build scalable backend systems, data pipelines, and cloud infrastructure. Own CI/CD, containerization, databases, and reliability; collaborate with tech leads to deliver secure, production-grade solutions for startups in a fully remote environment.

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.

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.

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.

Develop Canvas and Model-Driven Power Apps for web and mobile, automate workflows with Power Automate, and integrate data from Dataverse, SharePoint, SQL Server, and external APIs. Build Power BI dashboards, troubleshoot performance and bugs, manage security roles, gather requirements, train users, and maintain applications. The role also involves Power FX and optional pro-code development using JavaScript, HTML, CSS, or C#.

The Senior Software Engineer for the Treasury team will develop backend services for fund management, ensuring system reliability and leading projects in a fast-paced environment.

Design, administer, optimize, and govern an enterprise Databricks Lakehouse Platform. Responsibilities include managing workspaces, Unity Catalog, compute, workflows, data pipelines, security controls, observability, performance, cost optimization, CI/CD, infrastructure automation, disaster recovery, and platform upgrades. The role also supports audits, compliance, troubleshooting, documentation, technical standards, and mentorship while integrating Databricks with enterprise data, business intelligence, and AI/ML environments.

Build and scale Cresta’s no-code conversation intelligence platform across the frontend and backend. Responsibilities include creating visual workflow editors, backend services and APIs, data models, storage layers, and scalable systems using React, TypeScript, Python or Go, Postgres, ClickHouse, and Elasticsearch. Collaborate with product, design, and AI/ML teams to deliver intuitive experiences for non-technical users while improving performance, reliability, security, and maintainability.