Top Python Jobs in Miami, FL

Lead and grow a backend and full-stack engineering team responsible for Tradeify’s live trading platform. Partner with Product and Engineering teams on platform integrations, architecture, delivery, code quality, CI/CD, reliability, observability, and incident response. Remain hands-on through code reviews, design guidance, and technical problem solving while managing performance, hiring, onboarding, and cross-functional communication.

Lead the engineering team building Arcnine, Tradeify’s real-time trading platform from development through launch. Hire and develop engineers, guide architecture, partner with Product and Design, remain hands-on with code, establish quality and delivery practices, and own reliability, observability, and incident response. The role also contributes to company-wide engineering standards and communicates progress, risks, and needs to founders and cross-functional stakeholders.

Designs, develops, tests, documents, and operates large-scale distributed software products for Allstate’s Enterprise Payments organization. Responsibilities include building Java and Spring Boot REST APIs, designing microservices, collaborating on system architecture, practicing paired programming and test-driven development, establishing CI/CD pipelines, improving performance, securing APIs, supporting production applications, and contributing to Agile planning, retrospectives, and knowledge sharing.

Designs, installs, programs, validates, and supports six-axis robotic automation solutions at customer sites. Partners with sales, customers, and engineering teams to develop applications, create technical enablement materials, test integrations, and contribute to marketing collateral. Requires hands-on mechanical, electrical, and software experience in manufacturing, automotive, or industrial automation environments, with extensive domestic travel and factory-floor work.

Own the direction and execution of critical AI development products. Build AI-assisted annotation tools, data exploration and visualization interfaces, RLHF workflow products, large-scale data processing systems, and tools for communicating complex instructions. Make autonomous technical and product decisions, lead ambiguous projects, ship rapidly, and collaborate with engineering and research leaders to support AI training and evaluation.

Build scalable data pipelines, automation workflows, internal tools, and AI-powered quality-control systems. Lead data collection projects for frontier AI labs, establish quality frameworks, improve customer support processes, and manage cross-functional execution. Collaborate with technical and non-technical stakeholders to solve ambiguous operational challenges and deliver datasets and systems that improve advanced AI models.

Design and build core fullstack systems powering Surge’s AI platform. Own frontend product decisions, backend architecture, and high-impact workflows for data collection, labeling, and evaluation. Ship scalable, reliable, intuitive tools while making autonomous technical decisions, collaborating with engineering and machine learning leaders, and maintaining high standards for usability, performance, and maintainability.

Own enterprise deployments of Qodo’s Kubernetes-based platform in customer-managed AWS, GCP, and Azure environments. Install, configure, upgrade, troubleshoot, and optimize infrastructure, writing Python or Bash diagnostics and codifying repeatable processes with Terraform and Helm. Partner directly with customer engineering teams, resolve complex networking and access issues, maintain PostgreSQL and Redis infrastructure, and improve deployment reliability through automation and documentation.

Forward Deployed Engineers embed with customers to identify operational problems, analyze imperfect data, rapidly prototype and deploy AI-powered solutions, and drive adoption. Responsibilities include building pipelines, models, dashboards, optimizers, agents, and operational applications; collaborating with stakeholders; training users; improving platform capabilities; and supporting follow-on customer opportunities. The role requires technical execution, product thinking, client partnership, commercial awareness, and significant travel.

Lead full‑stack development and architecture for Spark’s broker platform. Deliver customer‑facing features, partner with product/design, mentor engineers, resolve technical debt, and set engineering standards while using AI developer tools.

Responsible for leading a team of engineers, supporting product development, identifying technical issues, and ensuring high-quality code delivery in backend systems at scale.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Provides senior-level technical support for enterprise customers using Aviatrix’s multicloud networking and security products. Responsibilities include troubleshooting complex network environments, resolving high-priority issues, coordinating with engineering and sales, reporting product issues, improving support documentation and workflows, supporting production environments, and mentoring cloud network engineers. The role requires expertise in routing, BGP, IPsec VPN, Linux, networking products, cloud platforms, scripting, and automation.

Designs and maintains automated testing frameworks for enterprise applications. Develops automation scripts, validates APIs and web services, performs functional, regression, integration, and end-to-end testing, and applies BDD practices. Supports CI/CD integration, analyzes QA metrics, improves testing processes, and collaborates with engineering and business stakeholders to ensure software quality, reliability, performance, and maintainability.

Develop and maintain scalable full-stack applications, REST APIs, microservices, and responsive user interfaces. Integrate internal and third-party systems for real-time data synchronization, optimize application performance, implement security controls, and troubleshoot production issues. Collaborate with analysts, quality engineers, program managers, and data science teams to deliver enterprise applications. Support code reviews, CI/CD, deployments, monitoring, and ongoing maintenance.

Lead the technical vision, architecture, and roadmap for Pika’s web and multiplatform creative products. Design scalable user-facing systems, real-time collaboration, messaging, generative AI workflows, and cross-service observability. Partner with product and design leaders from ideation through launch, while driving architecture reviews, technical excellence, mentorship, and engineering strategy.

Develop and launch scalable, user-facing features for AI-powered video and multimedia tools. Architect end-to-end solutions across backend and frontend systems, ensure quality and reliability, collaborate with design, product, and ML teams, and mentor engineers. The role involves rapid prototyping, experimentation, technical leadership, and shaping Pika’s core creative product.

Lead the strategy, architecture, and execution of product engineering across Pika’s user-facing AI creative products. Manage and scale multiple engineering teams, oversee reliable and scalable systems, define technical roadmaps, guide architecture and technology decisions, and collaborate with product, design, ML, and executive leadership. The role also emphasizes mentorship, engineering quality, cross-functional alignment, and delivery of high-impact web and mobile products.

Develop and maintain a production AI-enabled software platform in a federal/DoD environment. Investigate defects, troubleshoot application and system issues, perform root-cause analysis, implement and deploy fixes, support incidents and releases, and maintain technical documentation. Conduct quarterly AI model tuning by evaluating behavior, adjusting prompts and configurations, validating changes, monitoring regressions, and ensuring security, governance, traceability, and change-control compliance.

Own localization requirements, simulation and track testing, Hardware-in-the-Loop testing, and unit test coverage for autonomous ground vehicle software. Collaborate with autonomy, systems, safety, and hardware teams; review requirements and code; configure localization and safety algorithms; and support systems-level solutions. The role requires source-level C++ understanding, requirements management, safety standards familiarity, and testing across unit, simulation, track, and HIL environments.

Own end-to-end deployments of Prividium for institutional financial customers, including integration code, permissioning, node topology, upgrades, and operational runbooks. Build reference applications for collateral, tokenized deposits, and settlement. Operate production infrastructure through an on-call rotation, troubleshoot incidents, and convert deployment learnings into platform improvements. Collaborate with product, sales, core engineering, and customer teams while working across regulated banking systems or crypto infrastructure.

Defines enterprise AWS cloud architecture and standards; designs secure, scalable, compliant multi-account platforms and landing zones. Builds production Infrastructure as Code using Pulumi and AWS CDK, prototypes infrastructure, reviews engineering delivery, and creates handoff documentation. Provides technical leadership, mentors architects, supports cloud strategy, evaluates AWS services, and embeds cost optimization, governance, security, and compliance practices into platform design.

Leads backend engineering teams responsible for policy, billing, and financial ledger platforms. Provides technical architecture guidance, coaches engineers, manages performance, and drives scalable, secure, high-performing systems. Partners with Product and Program Management on delivery, improves engineering processes, oversees sprint and roadmap planning, models capacity, manages resources, and aligns technical execution with business goals.

Develop and maintain automated and functional tests covering API, UI, integration, system, and regression scenarios. Integrate scalable test automation into CI/CD pipelines, collaborate with engineering and product teams, provide test feedback, and contribute to technical planning and code reviews. The role also involves testing edge cases, compatibility, concurrency, backend systems, and large relational datasets using SQL.

Maintain and improve multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), observability, and networking. Build reliable continuous deployment tooling and onboarding flows, provide internal support, collaborate across Platform Engineering, contribute upstream (open-source/operators), and participate in a 24/7 on-call rotation to resolve deployment infrastructure issues.