Top Python Jobs in Miami, FL

Build and evolve reliability practices for a serverless AWS banking platform. Define SLIs, SLOs, and error budgets; design observability; establish incident response and on-call processes; automate detection and remediation; improve GitHub Actions CI/CD; support resilient architecture, progressive delivery, disaster recovery, operational readiness, compliance, and team mentoring.

Build production software and scalable cloud systems for AI-powered insurance calls. Responsibilities include designing core LLM systems, refining prompts, developing privacy- and security-conscious solutions, orchestrating thousands of concurrent phone calls, integrating FHIR APIs, testing, debugging, and documenting software. The role also contributes to product direction, engineering practices, and company culture as a foundational team member.

Lead the architecture and delivery of large-scale React and React Native applications across web and mobile. Establish frontend standards for performance, accessibility, reliability, and maintainability; build shared component libraries and design systems; resolve complex frontend and cross-stack issues; partner with product, design, and backend teams; and mentor engineers while shaping technical strategy across multiple product areas.

Lead architecture and delivery of complex web and mobile product initiatives. Build React and React Native applications, scalable components, APIs, data models, and shared libraries. Establish engineering standards, improve testing, performance, security, and reliability, and optimize database queries. Mentor engineers, guide technical decisions, and partner with leadership and stakeholders to shape the product roadmap. This is a fully remote role supporting veterinary clinic operations and supply-chain workflows.

Build and maintain features across Vetcove’s web, backend, and mobile platforms. Responsibilities include developing React and React Native applications, creating reusable components, improving test coverage, designing performant and secure data models, optimizing database queries, writing API endpoints, and collaborating with engineering, product, and company leadership in a fully remote environment.

Lead the Compute Runtime team in building and operating Netflix’s large-scale cloud compute platform. Own Kubernetes data plane software, container runtime capabilities, container execution, and compute-node operating systems. Drive scalable, reliable, and efficient platform architecture, adoption, operational excellence, incident response, and cross-functional technical leadership. Guide technology strategy, evaluate emerging architectures and services, and contribute to open-source innovation.

Owns the infrastructure service-request intake, prioritization, backlog, and workflow governance in JIRA. Coordinates patching, security updates, maintenance windows, change management, incident escalation, post-mortems, and audit readiness. Manages and develops Cloud Platform Engineers, oversees staffing and capacity, assesses technical risks, and partners with InfoSec and stakeholders. Drives automation, observability, reliability improvements, and AI-assisted operational tooling toward a 99.99% uptime target.

Designs, configures, and maintains IT systems for performance, availability, scalability, and security. Monitors system health, automates administration, troubleshoots complex issues, supports incident response and disaster recovery, ensures compliance, documents configurations, and mentors junior engineers.

Design, build, and maintain software applications; collaborate with engineers, analysts, and stakeholders; resolve bugs and production issues; write scalable, testable code; perform testing and debugging; produce technical documentation; mentor peers; participate in on-call rotation; leverage the team's data ecosystem to inform application design and improvements.

Designs, implements, and supports enterprise infrastructure platforms centered on OpenShift, Kubernetes, GitOps, and container technologies. Responsibilities include cluster lifecycle management, CI/CD, virtualization, storage, monitoring, automation, security, backups, disaster recovery, troubleshooting, system upgrades, documentation, and incident response. The role collaborates cross-functionally, mentors junior engineers, supports continuous improvement, and participates in on-call activities and after-hours changes when needed.

Designs, deploys, integrates, monitors, maintains, and troubleshoots storage and IT infrastructure, including SAN, NAS, object storage, VMware, networking, backups, and disaster recovery systems. Implements automation, security controls, patches, and system upgrades while maintaining documentation and compliance. Collaborates with cross-functional teams, participates in incident response and recovery planning, supports system rollouts, and mentors junior engineers. Requires occasional after-hours work and on-call availability for critical incidents.

Lead high-impact initiatives and architect enterprise-grade APIs while mentoring engineers. Collaborate across teams to influence technical strategy and scale platform architecture.

Own and evolve the company-wide SRE strategy, reliability standards, observability practices, incident management, service ownership, SLOs, and on-call operations. Lead cross-functional reliability initiatives, establish dashboards, alerts, runbooks, and escalation paths, improve production readiness and incident response, and operate large-scale distributed systems across AWS and Kubernetes. Participate in a 24/7 on-call rotation and help shape the SRE function.

Lead the architecture and operation of Horizon3’s developer experience platform, including local development, CI/CD, build systems, container images, artifact promotion, release workflows, security gates, and delivery observability. Build reusable tooling and paved paths, establish secure AI-assisted development practices, improve reproducibility and supply-chain security, and mentor engineers. Partner across Platform, Security, QA, and application teams to drive adoption, reliability, delivery speed, and continuous improvement.

Develop and deploy interactive data and AI applications on Databricks Apps. Build React and TypeScript/JavaScript interfaces, integrate Databricks data, analytics, APIs, and model-serving endpoints, and create lightweight Python or Node.js backend services. Collaborate with data engineers, data scientists, and stakeholders to prototype user workflows, implement governance and security controls, and deliver production-ready applications. Responsibilities also include CI/CD, Git-based development, documentation, Agile collaboration, and translating stakeholder needs into application features.

Administer and optimize Databricks workspaces across development, test, and production environments. Manage clusters, jobs, workflows, security, governance, monitoring, backups, performance, and cost controls. Automate provisioning and policy enforcement using infrastructure as code, integrate CI/CD pipelines, troubleshoot platform issues, and provide Tier 2/3 support. Collaborate with data, analytics, security, and IT teams while documenting procedures, onboarding users, and promoting Databricks best practices.

Build and scale Azure cloud infrastructure, Docker Swarm or Kubernetes clusters, and Terraform-managed environments. Create and maintain Azure DevOps CI/CD pipelines, deployment scripts, health checks, alerts, configuration, and automation workflows. Troubleshoot infrastructure and release issues, collaborate across technical teams, and document deployment processes. The role requires production experience with cloud platforms, scripting, CI/CD, infrastructure automation, and AI-assisted DevOps tools.

Designs, automates, and supports enterprise DevOps platforms across on-premises and hybrid cloud environments. Responsibilities include CI/CD, infrastructure as code, Linux administration, Kubernetes and container platforms, Azure and GCP operations, AI/ML infrastructure support, monitoring, reliability engineering, production support, security, disaster recovery, and cloud modernization. The role partners with infrastructure, development, security, architecture, and operations teams while participating in incident management and on-call rotations.

Full-time remote engineering internship with Product Engineering and AI/ML Engineering tracks. Interns may build and optimize scalable product features, contribute to architecture and design decisions, develop data pipelines and machine learning models, deploy AI applications, and integrate LLM-powered capabilities into Chess.com products. Applicants should be enrolled students or equivalent bootcamp participants with strong communication, ownership, teamwork, and relevant programming, database, machine learning, or AI experience.

Build and maintain Java backend services, REST APIs, and full-stack web application features. Develop frontend functionality with modern JavaScript frameworks, use Python for supporting work, and leverage AI coding tools such as Claude Code. Write tests, debug issues, support deployment and maintenance, and collaborate on design decisions, code reviews, and application quality improvements.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Designs and directs development of scalable software systems using AI-assisted engineering practices. Owns architecture, APIs, data models, testing strategy, security, reliability, observability, deployment, and production operations. Decomposes work for AI agents, validates generated code and tests, leads incident response, and coaches engineers on effective AI-enabled development. Requires full-stack experience, modern server-side development, event-driven systems, cloud infrastructure, regulated-data security, and production use of agentic AI.

Lead and mentor a software engineering team, provide technical guidance, drive architecture and engineering excellence, manage sprint execution, collaborate on product roadmaps, ensure scalable and reliable systems, foster continuous improvement, and support recruiting and onboarding. The role requires balancing technical strategy with business impact while developing high-performing engineers.

Design, simulate, prototype, and test RF circuits for wireless infrastructure products. Develop signal-processing algorithms, digital predistortion, and passive intermodulation cancellation techniques. Support TRX design activities, technical documentation, design reviews, subcontractor collaboration, and engineering problem-solving while staying current with RF and microwave technologies.

Lead development and operation of a scalable Kubernetes-based cloud-native platform. Shape the engineering roadmap, deliver enterprise platform capabilities, establish best practices, mentor engineers, and collaborate across Agile teams. Build highly available and fault-tolerant production services using Kubernetes and cloud-native technologies, while applying expertise in Go, Python or Bash, networking, Linux, and CI/CD practices.