Top Python Jobs in Miami, FL

Own and extend Aledade’s AI enablement platform, including the MCP Gateway, connector integrations, plugin marketplace, model gateway, observability, telemetry, and cost attribution. Build secure authentication and authorization flows, CI/CD and distribution tooling, evaluation harnesses, model routing, and agent collaboration features. Mentor engineers, document platform practices, run enablement sessions, triage requests, and support on-call operations for gateway and marketplace availability.

Software Engineer Intern contributing to cloud-native database services, including workspace lifecycle management, provisioning, scaling, backups, APIs, reliability, observability, testing, and production deployment. The role involves distributed systems, cloud infrastructure, backend development, debugging, code reviews, and collaboration with engineering and product teams.

Develop and operate production-quality cloud software for managing customer workspaces and databases. Responsibilities include building backend services, APIs, automation, provisioning, scaling, upgrades, backups, recovery, observability, and reliability improvements. The role involves writing code, tests, documentation, and technical designs; investigating performance and scalability issues; and collaborating with engineering, product, and cross-functional teams.

Architect and lead RapidFort’s scalable build platform for producing hardened container images. Responsibilities include designing distributed build systems, automating image creation and validation, improving reliability and performance, solving Linux and container infrastructure challenges, establishing software supply chain standards, influencing cross-team architecture, and mentoring engineers. The role requires deep expertise in Linux, Docker, Kubernetes, Python, Bash, CI/CD, distributed systems, and build automation.

Designs, develops, deploys, and operates scalable Go and Python microservices in distributed production environments. Responsibilities include API design, Kubernetes deployment, monitoring, scaling, troubleshooting incidents, system architecture, security, testing, code reviews, and continuous improvements to development processes and infrastructure. The role requires end-to-end service ownership, strong Linux and Docker expertise, observability knowledge, and experience with reliability, performance, and CI/CD practices.

Build, configure, administer, and support enterprise SaaS applications, ERP/CRM integrations, SQL data models, ETL processes, and automated workflows. Diagnose production issues, improve reliability, manage testing and deployments, document systems, coordinate vendors, and partner with business, data, security, and validation teams to deliver dependable commercial applications.

Build and maintain reliable data pipelines, APIs, integrations, and event-driven or batch processing systems. Transform data from advertising, ecommerce, order management, and event sources while improving monitoring, freshness, performance, and scalability. Collaborate with data engineering, infrastructure, product, and business teams to extend the integration platform in a cloud-native, multi-tenant environment.

Lead backend-focused software architecture and development across distributed systems, data ingestion, experimentation platforms, AI workflows, and product capabilities. Build primarily in Python while contributing to React and TypeScript frontend work. Translate ambiguous product needs into scalable production systems, guide technical direction, partner with product and data teams, mentor engineers, and improve engineering practices.

Build backend services, APIs, data-processing systems, and frontend features for Northbeam’s marketing intelligence platform. Work on experimentation, near-real-time data infrastructure, AI-powered workflows, data integrations, RBAC, and end-to-end product delivery. Collaborate with data scientists, product managers, designers, and senior engineers while contributing across backend, frontend, pipelines, and infrastructure in a fast-moving environment.

Owns the reliability, security, performance, and availability of AWS-hosted healthcare infrastructure. Builds infrastructure as code, CI/CD automation, monitoring, observability, backup and disaster recovery capabilities. Leads incident response, optimizes cloud resources, implements security controls, supports customer onboarding and migrations, and ensures compliance with healthcare privacy and software lifecycle requirements. Participates in on-call rotations and provides technical guidance to engineering and support teams.

Leads the design, development, integration, modernization, automation, and optimization of complex enterprise healthcare applications. Architects data pipelines and interfaces, manages upgrades and performance tuning, partners with architecture and security teams, establishes technical standards, and mentors engineers. The role requires expertise in healthcare interoperability, enterprise application architecture, scripting, deployment pipelines, security, scalability, and regulatory compliance.

Build and maintain scalable full-stack web applications using .NET, React, Next.js, and Azure. Responsibilities include feature delivery, API and microservices development, testing, code reviews, architecture, performance optimization, security, CI/CD support, cloud deployment, and production support. Senior engineers will mentor teammates and influence engineering standards, while early-career engineers receive mentorship and progressively greater ownership.

Administer and secure the organization’s GitHub environment, including repositories, permissions, branch protections, security controls, and CI/CD workflows. Build automation with GitHub Actions, APIs, and scripting; monitor reliability against SLOs; troubleshoot incidents; and improve developer experience. Integrate identity providers and security tools, support migrations, maintain documentation, and guide teams on GitHub usage and Copilot adoption. The role requires SRE or DevOps experience, infrastructure-as-code, containers, cloud platforms, and observability tooling.

Supports and enhances software, data, reporting, integration, and internal systems. Responsibilities include troubleshooting applications and data pipelines, maintaining SQL and Power BI environments, writing code, debugging APIs, supporting deployments and incident response, documenting solutions, working helpdesk tickets, and applying approved AI tools securely. Collaborates with engineers, analysts, developers, and business stakeholders to resolve issues, automate work, improve systems, and reduce operational burden.

Develop and maintain open-source Python frameworks and ML developer tools, architect scalable libraries, grow early-stage projects, build real-time streaming capabilities, integrate modern frontend technologies, and collaborate with open-source contributors and the broader developer community.

Build and maintain core backend services and frontend interfaces for a music metadata and royalties platform. Own features end-to-end, collaborate with founders and designers, optimize for performance, security, and scalability, and integrate modern AI and infra tools.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

As a Solutions Architect at Deepgram, you'll engage with customers post-sales to resolve complex technical issues, create scalable solutions, and enhance support processes, using your engineering skills and experience in customer-focused roles.

Lead architecture and delivery of Control Center platform capabilities (MCP tool registries, AI orchestration, access automation). Design agentic AI integrations, HITL workflows, and evaluation/guardrail frameworks. Own backend services, SLOs, observability, incident response, and operational readiness for Tier-1 systems. Drive cross-team technical direction, author TDDs, run design reviews, mentor engineers, and partner with Product and Security to deliver secure, scalable platform primitives.

The Senior Site Reliability Engineer will develop and support distributed storage services, ensuring reliability and operational safety, with a focus on automation and efficiency.

Work as an SRE embedded with product teams to improve reliability by fixing application code (primarily TypeScript), building observability (Prometheus, Loki, Grafana, Alloy), defining SLIs/SLOs, leading incident response and postmortems, automating toil, and supporting deployments across on‑prem DoD and AWS environments.

Designs and delivers complex cloud, data, and AI/ML systems. Responsibilities include building cloud-native microservices, serverless and containerized workloads; implementing infrastructure as code, CI/CD, monitoring, and observability; contributing to data platforms and MLOps; and integrating LLM capabilities. The role collaborates with engineering, data, AI, and product teams, documents architecture, participates in design reviews, establishes best practices, and mentors junior engineers.

Leads end-to-end architecture for complex cloud, data, and AI/ML systems. Defines technical strategy, designs scalable multi-cloud and hybrid solutions, establishes infrastructure-as-code and DevOps standards, drives migrations and modernization, and optimizes performance, cost, security, and reliability. Partners with clients and leadership, documents architecture, mentors engineers, evaluates emerging technologies, and serves as a technical escalation point for complex integration challenges.

Develop and ship full-stack web and mobile experiences across Affirm’s consumer app and website. Collaborate with product, design, analytics, and engineering teams to break down projects, make technical decisions, write tested and extensible code, launch scalable APIs, monitor service health, support on-call operations, review code, and participate in team development and interviewing.

Work with the development team to build and debug web applications: write Python backend code, create responsive HTML/CSS/JavaScript frontends, integrate frontend and backend, participate in code reviews and testing, learn frameworks and document progress.