Top Python Jobs in Miami, FL

Own the design, development, and automation of Coinbase’s routing infrastructure connecting services to Kubernetes backends. Build scalable capabilities using Envoy, Istio, Ambient Mesh, and SPIFFE; improve routing latency, reliability, and performance; enhance developer tooling with responsible AI; and collaborate with security, reliability, and observability teams to resolve complex distributed-systems issues.

Lead a hands-on software engineering effort for Zeta’s real-time events pipeline. Design, build, deploy, and operate high-volume event ingestion, processing, and delivery systems. Own architecture, reliability, observability, performance, cost, data quality, and on-call improvements. Collaborate with Product, Data, and downstream platform teams, define stable interfaces and SLAs, evaluate technologies, lead production launches, and mentor engineers through design and code reviews.

Build and maintain NetBox Enterprise, an on-premises product suite. Responsibilities include architecting Kubernetes-based high-availability solutions, extending Kubernetes operators, developing lifecycle management tools, building CI/CD pipelines, managing releases, writing Rust and Python, supporting integration testing, documenting deployment practices, and resolving customer deployment and operational issues.

Design and build high-performance AI infrastructure, optimizing and maintaining production systems while collaborating with researchers and analysts.

Develop and support robotic process automation solutions across business and operations teams. Responsibilities include designing, developing, testing, deploying, documenting, monitoring, and troubleshooting RPA workflows and components. The role gathers requirements, creates technical designs, integrates solutions with systems such as SAP, supports production deployments, ensures governance and quality, trains users, and participates in on-call support.

Lead design and delivery of scalable, secure Legal & Compliance systems on AWS. Architect custom applications, integrate L&C SaaS platforms, define technical roadmaps, enforce cloud-native and DevOps best practices, and build and mentor a global development team to meet data privacy, security, and compliance requirements.

Maintains and designs enterprise systems, VMware infrastructure, virtual machines, containers, Kubernetes clusters, storage, backups, and cloud services. Monitors performance and security events, manages Windows patching, develops PowerShell, Linux, and API automation scripts, supports system resiliency and scalability, and collaborates with IT teams, vendors, and management on projects, quality controls, and operational improvements.

Leads the Insurance Product Configuration and Enrollment Platform Core, managing engineering managers and 20–30 engineers. Owns technical vision, distributed systems architecture, delivery commitments, operational excellence, testing strategy, partner implementations, and cross-team interfaces. Develops engineering leaders, manages hiring and vendors, and drives adoption of AI-augmented development tools and practices. Ensures scalable, secure, reliable platform services while balancing contractual delivery dates with long-term platform maintainability.

Lead enterprise B2B integration projects for strategic customers using APIs, webhooks, connectors, cloud services, and scalable integration architectures. Gather requirements, design technical solutions, develop and review code, document best practices, troubleshoot implementations, and support customer deployments. Collaborate with product, sales, systems engineering, and developer ecosystem teams while managing complex projects and multiple stakeholders. Apply Python, cloud platforms, LLM-based tools, agentic workflows, databases, and modern Agile practices.

Lead design and evolution of SentiLink's data platform for fraud detection. Architect scalable batch and streaming pipelines, improve reliability, performance, and observability, set engineering standards, mentor engineers, drive cross-team technical initiatives, participate in production support/on-call, and evaluate build-vs-buy and emerging technologies.

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

Design, build, monitor, and maintain large-scale Linux infrastructure supporting distributed S3-compatible object storage across multi-cloud environments. Responsibilities include kernel and storage optimization, network and hardware troubleshooting, automation with Chef or Ansible, observability, forecasting capacity, technical leadership, project coordination, mentoring, documentation, and on-call support.

Designs, develops, integrates, and maintains complex telecommunications and unified communications systems for the FAA. Serves as an Avaya Aura and OSSI subject matter expert, creating automation scripting frameworks and supporting system databases and interfaces. Responsibilities include systems lifecycle engineering, configuration, testing, documentation, training, technical guidance, and cloud deployments using platforms including Avaya, Juniper, Cisco, Zoom, and Microsoft products.

Lead the migration and maintenance of complex data flows into AWS cloud environments. Develop infrastructure as code and cloud service logic using Python, Ansible, CloudFormation or CDK, while supporting CI/CD pipelines, file transfer and messaging services, monitoring, troubleshooting, performance tuning, and documentation. Coordinate integration requirements with stakeholders and maintain secure, compliant federal cloud solutions.

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.

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.

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.

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.

Lead the migration from legacy Azure services to a Kubernetes-based, containerized microservices platform. Design, build, and scale infrastructure, implement observability (monitoring/alerting/logging), drive incident response and SLOs, automate with IaC and CI/CD, optimize cost and networking, mentor teams, and document systems to ensure reliable, scalable healthcare platform operations.

Design and deliver secure, high-performance microservices and APIs. Develop backend services in Java and Python, integrate ML components, build front-end service layers, deploy containerized applications to cloud platforms, and collaborate in Agile teams to ensure scalable, test-driven solutions.

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.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

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.

Design, develop, and maintain scalable Python applications; collaborate with cross-functional teams to deliver features; ensure performance and quality; identify and fix bugs; maintain code quality and automation; lead and mentor team members using agile practices.