Top Senior Python Jobs in Miami, FL

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

The Senior Software Engineer will lead development, mentor engineers, and create data solutions using TypeScript, React, and Python. Responsibilities include designing applications, driving innovation, and ensuring high-quality user experiences.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

As a Senior/Staff Software Engineer, you will design and implement products, guide other engineers, and drive innovation in health data solutions.

Design, implement, and operate scalable, fault-tolerant web crawling and extraction pipelines processing massive web data. Write production Java/Python code, build ETL/ELT pipelines (BigQuery/Snowflake), use Kafka, Kubernetes (GKE/EKS), Terraform, and Airflow, and improve observability, reliability, and collaboration with product and data science teams.

Design, build, and maintain a scalable cloud platform using IaC and CI/CD. Lead DevOps/SRE practices, implement monitoring, security and compliance (SOC2/HIPAA/NIST), manage containers, troubleshoot infrastructure, and participate in on-call rotation while driving cross-team delivery.

Develop and productize SONiC-based NOS and platform software for Nokia switching products (Broadcom/Marvell) for data center and AI fabrics. Implement and debug networking features, protocols, and management interfaces; collaborate with test, product, and customers to ensure quality and requirements are met.

Design, develop and execute automated and manual tests for router/chassis features (SONiC). Develop Python/Pytest test cases, analyze results, debug with SW/HW/Firmware teams, and drive features to GA readiness.

Design, build, and maintain scalable enterprise full-stack applications using Java, Spring Boot, microservices, and modern front-end frameworks. Implement cloud-based solutions on AWS, contribute to CI/CD and DevOps automation, optimize performance and security, and integrate AI-driven capabilities using Python and orchestration tools like LangChain and LangGraph.

Design and deliver scalable, secure data platforms and architectures (Databricks/cloud) for customers. Split time between billable and pre-sales, lead solution design, mentor teams, ensure data governance and security, validate ETL/data pipelines, produce documentation and presentations, and manage multiple customer accounts to deliver production-ready data solutions.

Lead design and implementation of Doowiis frontend, backend, and data systems. Define architecture, build scalable ingestion and analytics pipelines, optimize storage and query performance, ship AI-driven features (LLM/text-to-SQL, embeddings), improve observability and deployment, and mentor engineers while partnering with product and ML teams.

Lead refactoring and optimization of scalable data pipelines, design next-generation distributed storage and processing systems, build clean interfaces for diverse data consumers, mentor engineers, and establish engineering standards and processes.

As a Systems Engineer, you will ensure robust, efficient, and secure systems while collaborating with teams and maintaining system documentation and support.

Design, build, and maintain scalable, secure backend services in Python. Implement SQL and NoSQL data models, CI/CD pipelines, and containerized deployments. Collaborate with product, front-end, and design teams, perform code reviews, optimize performance, troubleshoot production issues, mentor junior engineers, and improve development processes and infrastructure.

Own and evolve the Core Platform architecture: design and operate scalable APIs, event-driven distributed services, SDKs and AI-integrated workflows. Ensure reliability, observability, performance, and security; provide technical leadership, mentor engineers, and drive best practices.

Build scalable backend services and data pipelines to process large healthcare datasets, integrate and optimize LLM-driven features, implement observability and best practices, collaborate across frontend, data, and AI teams, and own end-to-end feature delivery for production systems.

Own QA for web and mobile releases: write and run manual and automated tests (web, mobile, API), build test frameworks, improve CI, track issues, mentor teammates, and influence requirements and quality processes.

Design, deploy, manage, and troubleshoot high-performance InfiniBand and Ethernet networks for HPC. Perform performance tuning, capacity planning, and monitoring. Implement Fortinet security, resolve routing/switching/latency issues, collaborate with compute and storage teams, document architectures, and participate in on-call escalation and upgrades.

Lead development of spacecraft Guidance, Navigation, and Control systems through full lifecycle: requirements, design, simulation, algorithms, flight software, and verification. Develop simulation tools, drive reuse of heritage Airbus products, support subsystem requirements and integration, and optimize designs for cost, manufacturability, and testing. Collaborate cross-functionally across spacecraft, payload, and launch integration activities.

Build and maintain cloud infrastructure and observability for scalable systems. Monitor, troubleshoot, patch, and automate operations using IaC, CI/CD, Kubernetes, and AI-driven automation. Manage backups, disaster recovery, log pipelines, databases, and message streaming. Collaborate with engineering, security, and business teams to improve reliability, incident response, and infrastructure lifecycle (including Terraform state cleanup and decommissioning).

Design, automate, and maintain scalable infrastructure and SRE tooling. Manage Kubernetes clusters, CI/CD, monitoring, and incident response. Improve processes, reduce toil via automation, and collaborate with engineering and data teams to support domestic and international workloads.

Own and scale corporate IT systems including Windows/macOS endpoints, MDM, identity (Okta, Google Workspace), SaaS administration, automation (PowerShell/Bash/Python/APIs), onboarding/offboarding, endpoint security, and audit readiness. Troubleshoot complex issues, build runbooks, and partner with Security, Engineering, People, and Operations to operationalize repeatable, compliant IT processes.

Lead mobile QA strategy for iOS and Android: design and scale automation frameworks (Appium, Espresso, XCUITest), integrate test suites into CI/CD, test on real devices via BrowserStack, perform API and exploratory/manual testing, analyze defects, and mentor junior QA engineers to ensure performance, stability, and excellent UX.

Lead mechanical systems design for industrial thermal-fluid equipment from concept through fabrication and field support. Create and review P&IDs, CAD models, specs, and vendor engagements, improving operability, reliability, and cost while working across disciplines and with suppliers and fabricators.

Build and maintain the AI-powered learning platform across a TypeScript/React frontend and Python/FastAPI backend. Integrate LLMs for classification, extraction, personalization, and conversation practice. Design scalable APIs, develop real-time interactive features, apply AI-assisted development workflows, write well-tested code, and collaborate with product, design, and education teams to optimize learning experiences and A/B tests.