Top Python Jobs in Miami, FL

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.

Build and maintain core financial backend systems (trading, ledger, billing), transaction processing, reconciliation, and portfolio state management. Design and scale real-time and batch data pipelines, architect APIs and backend services, ensure reliability and observability, and contribute to distributed system design (event-driven, microservices, streaming). Partner with ML teams as needed.

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, execute and automate tests for Angular/React web components, including accessibility (WCAG 2.1). Create test plans/cases, report defects, integrate automated tests into CI/CD, and collaborate with cross-functional teams using tools like Selenium/Cypress/Playwright, Jenkins, JIRA, and Zephyr.

Serve as Tier 3 escalation for an MSP-managed, security-focused practice supporting life sciences clients. Design Microsoft-centric secure architectures (Azure, Microsoft 365, identity, endpoints), lead migrations/onboarding, mentor engineers, own root-cause analysis, implement security controls and compliance alignment, and build automation and AI-assisted tooling (PowerShell, Claude) to reduce manual work.

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.

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.

Manage ticket queues and incident response, build observability dashboards, apply LLM-powered triage and automation to reduce recurring tickets, write automation code, maintain CI/CD and IaC, and partner with stakeholders to improve service reliability and MTTR.

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 and implement AI-powered finance systems and integrations for enterprise customers. Lead discovery, build automated workflows for reporting, forecasting, reconciliations and controls, design integrations across ERP/CRM/payment/BI platforms, build AI agents and validation logic, and coordinate cross-functional teams to deliver and continuously improve solutions.

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.

Lead architecture and delivery of scalable, resilient distributed web applications and AI/LLM-powered features. Drive technical vision, enforce engineering best practices, mentor engineers, collaborate with product and platform teams, and productionize generative AI capabilities with attention to testing, observability, security, and performance.

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.

Build and maintain low-latency research, market-data, simulation, and trading software. Improve performance, reliability, testing, and observability; collaborate with traders and researchers to translate ideas into production-ready tools.

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.

Design, build, and operate core platform infrastructure on AWS using Terraform and Kubernetes. Own end-to-end projects, CI/CD pipelines, observability, security best practices, and production reliability while contributing to architecture decisions, documentation, runbooks, and mentoring. Participate in on-call rotation and automate recurring work.

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.

Design, implement, and maintain Atlassian/ALM toolchains and CI/CD build/deployment environments. Administer systems (Linux/Windows), version control (Git), DevOps practices, and support database deployment/tuning. Collaborate on Agile teams and automate deployments using CI/CD tools.

Build end-to-end AI integrations in a cybersecurity platform: gather contextual security data, call and optimize AI services, map responses to actionable UI (React), implement error/fallback handling, monitoring, caching, and user feedback loops while working directly with customers.

Develop and optimize detection, tracking, and multi-sensor fusion algorithms (Kalman/particle filters, multi-target tracking) for resource-constrained UAVs. Train and deploy neural networks for ATR, design distributed swarm fusion, validate against flight data and simulation, and optimize models for real-time edge inference. Travel up to 25% for tests.

Build and scale backend services for identity, access control, secure content sharing, and data access. Contribute to Dgraph internals, collaborate with platform and infrastructure teams, drive architecture and permissions models, and write high-quality Go and Python code focused on reliability, security, and performance.

Lead design and implementation of scalable backend services and member-facing APIs using Python/Django, PostgreSQL, BigQuery/dbt and GCP. Own infrastructure as code (Terraform), container orchestration (Docker, Kubernetes), async/event-driven systems, observability, and performance tuning. Mentor engineers, collaborate with Product and Data teams, and ensure secure, low-latency, AI-driven member experiences.