Top Senior Python Jobs in Miami, FL

Build and maintain cross-platform endpoint agent capabilities for Windows, macOS, and Linux using Rust and native operating system APIs. Develop secure, concurrent, networked systems integrating with backend services, and own features from design through production support. Investigate complex endpoint issues, improve performance, reliability, security, and upgrades, and contribute through design reviews, code reviews, automated testing, and technical guidance.

Design, build, and optimize scalable backend services, APIs, and data pipelines. Integrate with third-party billing/commerce systems, maintain serverless/event-driven architectures on AWS, ensure security and performance, implement automated tests and CI/CD, mentor engineers, and drive architectural decisions.

Lead and mentor a Southeast Asia engineering team; ensure code quality and testing; drive project progress; define integrations strategy; design, build, and maintain third-party integrations; align engineering efforts with product and leadership.

Build and maintain backend services and metadata pipelines supporting data discovery, governance, and AI/ML workflows. Responsibilities include integrating relational databases, developing Java, Node.js, and Python services, optimizing distributed pipelines, implementing Terraform infrastructure, supporting GitLab CI/CD, and writing comprehensive tests. The role also involves troubleshooting scalability and reliability issues, designing asynchronous workflows, and collaborating on modern data lake, search, metadata, and LLM-enabled technologies.

Orchestrate AI coding agents across parallel workstreams to deliver production features, refactors, bug fixes, and investigations. Own work end to end from product specifications and architecture through implementation, code review, testing, deployment, and production health. Build internal AI tooling, improve agent-generated code quality, operate scalable e-commerce systems, and collaborate with Product, Design, Operations, and Engineering teams. Mentor engineers on AI-native workflows and automate remaining manual engineering processes.

Build and maintain scalable backend systems and data pipelines for healthcare workflows. Collaborate cross-functionally to automate provider and patient workflows, prototype features, ship production-ready code, and ensure systems are maintainable and scalable.

Build and scale backend data platforms and services for real-time loan origination and financial reporting. Lead quarterly delivery, guide engineers, define technical plans, collaborate with product and design partners, improve reliability and operational practices, monitor service metrics, participate in on-call support, uphold engineering quality standards, and mentor team members. The role requires developing highly available distributed systems and scalable data pipelines using technologies such as Python, Kotlin, AWS, MySQL, Kubernetes, Spark, and Airflow.

Build and maintain automated test frameworks for endpoint management software across Windows, macOS, Linux, and mobile platforms. Develop functional, integration, regression, performance, resiliency, and system-level tests for endpoint agents and MDM workflows. Troubleshoot defects using logs, debugging, telemetry, and diagnostics; reproduce customer issues; support root-cause analysis; and expand coverage using AI-assisted development tools.

Leads the architecture and execution of large-scale enterprise migrations to Nutanix HCI. Assesses existing infrastructure, designs target environments, develops migration strategies, and guides engineering teams through deployment, testing, cutover, and stabilization. Responsibilities include cluster architecture, capacity planning, virtualization migration, disaster recovery, backup, performance optimization, risk mitigation, technical documentation, and client-facing design reviews. Serves as the senior escalation point for complex infrastructure, storage, networking, and virtualization issues.

Deploys, configures, migrates, troubleshoots, and optimizes Nutanix HCI environments. Executes enterprise workload migrations from VMware, Hyper-V, and other platforms; manages clusters, storage, networking, replication, backup, disaster recovery, and high availability. Performs readiness assessments, migration cutovers, validation, stabilization, documentation, performance tuning, and knowledge transfer while collaborating with architects, application owners, and infrastructure teams.

Build and manage Ironclad workflows, integrations, automations, reporting, permissions, and secure AI connections across Legal, Finance, RevOps, Sales, and other business systems. Develop reliable API integrations with monitoring, error handling, and retries; improve contract data visibility; administer releases and change management; troubleshoot issues, manage vendors, document processes, and train users.

Design and improve observability (monitoring, logging, tracing, SLIs/SLOs), build automation and CI/CD, lead incident response and reliability improvements, mentor SREs, run on-call, and apply AI/ML to operational signals to forecast and reduce risks.

Lead system-level loads, structural dynamics, vibration, aeroelastic, and store separation analysis for unmanned aircraft, interceptors, and munitions. Build full-vehicle finite element models, guide ground and flight-test correlation, conduct trade studies, support design decisions, document results, present to customers, and mentor engineers. Requires collaboration across structures, aerodynamics, propulsion, GNC, and systems engineering.

Leads complex SaaS and digital banking implementations, including configuration, customization, validation, troubleshooting, third-party integrations, and post-go-live stabilization. Serves as the primary technical resource for client engagements, coordinates with project managers, engineers, vendors, and customers, and translates technical issues into actionable solutions. Develops implementation documentation, improves processes, mentors junior engineers, manages concurrent priorities, and communicates platform enhancement opportunities to product and engineering teams.

Own the reliability, availability, security, and observability of Tradeweb’s global AWS platform. Responsibilities include infrastructure-as-code automation, monitoring, SLO development, incident triage and resolution, performance analysis, architecture collaboration, and regular on-call support. The role requires cloud-native engineering, scripting, networking, Linux/Unix, security, and reliability expertise while contributing to an Agile engineering organization.

Owns production reliability for a B2B SaaS platform, including SLOs, error budgets, observability, alerting, incident response, recovery exercises, performance and capacity engineering, load testing, disaster recovery, and production readiness. The role writes automation and production code, leads incidents, coaches engineering teams, and improves reliability across Kubernetes, Azure, databases, messaging, and service infrastructure.

Build and maintain full-stack features for Suwali, translating broad goals into practical plans and delivering work from exploration through deployment and follow-up. Collaborate with technical and non-technical colleagues, assess user feedback and data, communicate progress clearly, and contribute to product decisions. The role requires production engineering across frontend and backend systems, with potential future responsibility for managing and mentoring engineers.

Leads a cloud platform engineering team responsible for cloud architecture, standards, automation, security, reliability, availability, and performance. Partners with architecture, risk, security, and application teams to deliver resilient cloud services and platform capabilities. Oversees cloud infrastructure enhancements, controls, observability, and operational excellence while managing staff development, hiring, performance, and technical strategy.

Own and re-architect Filevine’s end-to-end CI/CD systems across .NET, Python, and Svelte. Build internal developer tooling, improve testing and feedback cycles, enhance local development and onboarding, instrument DORA delivery metrics, and introduce AI-assisted development practices. The role includes infrastructure-as-code, containerization, mentorship, cross-team process improvement, and on-call ownership for delivered systems.

Design, build, and maintain scalable applications, APIs, mobile platforms, booking systems, clinical integrations, and healthcare data systems. Own features end to end, make architectural decisions, improve security and reliability, and contribute to cloud deployment, CI/CD, monitoring, and DevOps. Collaborate with clinical, operations, and patient experience teams to deliver secure digital tools that improve patient care and clinic efficiency.

Develop and optimize Firefox performance across Windows, Android, Linux, and macOS. Write code, tests, prototypes, and tooling; profile and diagnose bottlenecks; improve benchmarks; and lead performance initiatives. Collaborate across engineering teams, educate developers, drive projects to completion, own browser performance areas, and contribute to the team’s technical roadmap.

Build and ship customer-facing transaction features end to end, including APIs, data models, pipelines, integrations, and user interfaces. Collaborate with product and design teams, contribute high-quality code, drive technical discussions, identify risks, and deliver production systems using a modern Python stack.

Build and deliver AI-powered healthcare products using React, Node.js, Python, and modern full-stack technologies. Partner with customers, designers, researchers, and product teams to understand workflow needs, design intuitive AI experiences, and own features from ideation through deployment, optimization, and scaling. The role requires strong product instincts, end-to-end software engineering ownership, and experience building production-grade applications.

Build and operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.

Leads a team responsible for simulation-based verification and validation of autonomous trucks. Defines V&V strategy, scenario coverage, test campaigns, toolchain requirements, and safety-case evidence aligned with automotive standards. Partners with product, systems, safety, engineering, tools teams, and vendors to establish release criteria, identify testing gaps, analyze results, and report risks and progress to leadership. The role also involves team development, simulation scenario management, and advancing autonomous vehicle validation practices.