Top Senior Python Jobs in Miami, FL

Build and ship full-stack web and mobile experiences across Affirm’s consumer products. Break down projects, collaborate with product, design, and analytics teams, develop scalable APIs, write well-tested code, monitor service health, participate in on-call support, review code, and contribute to engineering growth and interviewing.

Build and lead development of full-stack agentic AI products for systems modernization. Responsibilities include creating coding harnesses and runtime layers, integrating source control, CI/CD, security, and developer tools, scaling coding-agent workflows, and partnering with customers, designers, and mission teams. The role requires production-grade, cybersecurity-compliant systems, strong product judgment, and close collaboration with forward-deployed engineering teams supporting national security missions.

Leads a cloud network engineering team responsible for designing, securing, implementing, and maintaining Azure, hybrid, and on-premises network infrastructure. Oversees architecture, connectivity, reliability, automation, observability, incident response, compliance, and security practices. Manages team performance, work prioritization, mentoring, hiring support, and on-call operations while collaborating with Cloud, DevOps, Security, and application teams.

Maintains and troubleshoots server, storage, networking, cabling, and power hardware across a large-scale production data center fleet. Writes Python automation scripts, reviews logs and alerts, performs diagnostics, supports deployments, builds hardware health dashboards, coordinates with DevOps, supply chain, and vendors, and assists with hardware evaluation and reliability improvements. Requires on-call availability and travel to data center sites.

Own and evolve a Python-based pricing and decision engine running on AWS. Lead supporting engineers, establish technical standards, implement scoring models and business rules, ensure data correctness, manage APIs and integrations, design pricing experiments, and maintain reliability and observability. The role will expand into machine-learning model integration, analytics applications, data products, and analytics platform foundations while coordinating closely with Product, DevOps, Data Engineering, Data Science, and QA.

Leads the design, development, and implementation of production-grade web applications and biomedical data platforms. Builds Node.js and React applications, APIs, server-side components, and scalable cloud-based solutions. Provides technical leadership, mentors junior engineers, coordinates cross-site projects, manages release schedules, prioritizes features, collaborates with scientists and product teams, performs testing and code reviews, and maintains technical documentation and deployment guidance.

Leads Verizon’s QA test automation strategy for mobile, web, and service applications. Manages scalable frameworks for functional, performance, and regression testing; integrates AI/ML for test generation and defect prediction; embeds automation into CI/CD pipelines; and leads QA engineers. Responsibilities include setting KPIs, managing budgets and resources, mentoring teams, collaborating across technical functions, and driving innovation in automation and AI testing.

Designs, builds, and operates scalable video streaming infrastructure for live and on-demand services. Responsibilities include transcoding, packaging, CDN optimization, SSAI, DRM, service mesh, Kubernetes, cloud infrastructure, infrastructure as code, serverless technologies, automation, high availability, scalability, and disaster recovery. The role requires deep expertise in streaming protocols, media workflows, cloud platforms, DevOps, and distributed systems, plus a Certified Widevine Implementation Partner certification.

Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.

Own incident response, observability standards, and SLI/SLO adoption across engineering teams. Lead incident lifecycle improvements, postmortems, runbooks, alert optimization, Datadog dashboards, error-budget practices, and reliability enablement. Partner with Infrastructure, Security, Support, and Product to improve detection and recovery times, mentor engineers, support capacity planning and chaos exercises, and drive sustainable team-owned operational excellence.

Build and lead development of high-availability backend services for Affirm’s card loan platform. Design scalable APIs, data models, microservices, and event-driven systems supporting real-time loan attribution, approvals, origination, and refunds. Drive technical strategy, troubleshoot complex performance issues, collaborate with cross-functional teams, and mentor engineers while ensuring long-term system robustness and scalability.

Owns end-to-end development and production operation of Generative AI agents, workflows, and full-stack applications. Builds with Python and React, deploys on AWS using Terraform and GitHub Actions, and implements evaluation, observability, security, and human-in-the-loop controls. Integrates enterprise systems, mentors junior engineers, partners with business and vendor teams, and leads troubleshooting and architectural improvements in regulated operational environments.

Own Headway’s cloud platform and infrastructure engineering strategy. Lead deployment isolation, container orchestration, AWS networking and compute, autoscaling, capacity planning, Terraform self-service infrastructure, cloud cost attribution, and Python runtime performance. Build reliable paved-road tooling that enables engineering teams to deploy safely and independently while improving scalability, observability, and operational resilience.

Leads performance engineering across the organization by designing load-testing and data-generation frameworks, defining benchmarks and standards, analyzing application, database, and system behavior, and guiding teams in performance optimization. Builds reusable tooling and best practices using k6, JavaScript, Grafana, and InfluxDB while addressing scalability, latency, throughput, and reliability challenges in distributed cloud-native systems.

Owns the full lifecycle of operational software products, from concept through production. Builds and tests reliable, user-focused features; scales prototypes; triages issues and identifies root causes; and partners with product teams, mission engineers, architects, and end users to deliver effective solutions. The role requires strong React, TypeScript, and Python skills, performance optimization experience, and collaboration across technical and non-technical stakeholders.

Designs, develops, and supports scalable Java microservices, APIs, and cloud-based applications. Responsibilities include building REST and SOAP integrations, managing CI/CD pipelines, supporting cloud deployments, collaborating on full-stack solutions, debugging systems, and improving performance and reliability. The role requires expertise in Java, Spring Boot, microservices, databases, cloud platforms, DevOps tools, Kafka, Python, and software testing.

Build and scale AI-enabled developer experience systems, including CI/CD platforms, deployment safeguards, observability, automated response workflows, and multi-agent orchestration. Reduce developer toil and technical debt while improving software delivery speed, safety, reliability, and production quality. Partner with engineering teams to adopt AI-native delivery practices and convert emerging capabilities into scalable internal platforms.

Lead backend engineering strategy for Affirm’s search and recommendation platform. Design and launch highly available distributed systems, guide technical architecture and execution, improve team operations and reliability, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on search, recommendations, consumer shopping experiences, monetization, and scalable platform foundations.

Architect, build, and operate large-scale relational and distributed SQL database infrastructure. Responsibilities include database control-plane automation, provisioning, failover, backups, upgrades, zero-downtime migrations, Kubernetes networking, connection proxy optimization, reliability monitoring, capacity planning, and operational support. The role also leads technical delivery, mentors engineers, establishes quality standards, collaborates cross-functionally, and contributes to team roadmap and on-call operations.

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.

Designs, develops, deploys, and maintains secure enterprise applications supporting AI initiatives. Builds .NET and SQL Server solutions using Domain-Driven Design, manages Azure DevOps CI/CD pipelines, automates with PowerShell, and supports Linux, Windows Server, and Docker environments. Contributes to architecture, testing, troubleshooting, documentation, and production support while mentoring developers and collaborating with product, business, and QA stakeholders.

Lead technical integrations of Cedar's platform with client healthcare systems: discover requirements, map data formats, validate data/UAT, communicate technical security and authentication needs, manage complex projects, and represent customer needs to engineering and product teams.

Manages the Marketplace Performance software engineering team, setting technical strategy and delivering business-critical backend and consumer marketplace systems. Partners with product, design, analytics, revenue, and merchant teams; oversees system reliability, monitoring, testing, on-call operations, and technical standards. Develops engineering talent, drives quality and ownership, and contributes to Affirm’s ads platform and marketplace monetization initiatives.

Lead backend engineering strategy for Affirm’s international Identity team. Design and launch highly available distributed systems supporting KYC, user lifecycle management, and identity decisioning. Drive technical planning, cross-functional collaboration, operational excellence, monitoring, testing, and on-call readiness. Establish engineering quality standards, influence architecture, mentor team members, and deliver scalable systems using Python or Kotlin, AWS, MySQL, Spark, and Kubernetes.

Own the organization’s multi-cloud platform across Google Cloud, Alibaba Cloud, AWS, Cloudflare, and Vercel. Manage Kubernetes clusters, infrastructure as code, CI/CD, blockchain node fleets, networking, observability, security, incident response, developer enablement, and cloud cost optimization. Operate production infrastructure at scale, improve reliability and security, automate deployments, and support validator, RPC, archive, GPU, confidential-computing, and database workloads.