Top Python Jobs in Miami, FL

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.

Performs customer-facing and internal software upgrades, patches, deployments, rollback support, validation, troubleshooting, and cloud migrations. The role also maintains documentation, supports CI/CD tooling and automation, coordinates upgrade schedules, applies security patches, and collaborates with cross-functional teams. This entry-level position develops cloud release engineering skills through mentorship and hands-on work.

Own the operational health, observability, reliability, and failover of AI model providers and endpoints. Build SLO monitoring, canaries, quality regression detection, automated provider-operations tooling, and load-testing systems. Lead incident response, communicate with external providers, produce reliability scorecards, and drive postmortems and corrective actions. Support capacity planning and launch readiness for high-volume LLM inference traffic.

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.

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.

Build and maintain scalable full-stack applications using React and Java or Python. Develop microservices, optimize high-throughput systems, resolve architectural and performance issues, and deliver production-grade software in Agile environments. The role includes end-to-end implementation ownership, cloud development, AI-assisted engineering, and mentoring or leading developers.

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.

Develop and optimize global websites for technical SEO, GEO, crawlability, indexing, performance, internationalization, and user experience. Conduct audits, resolve technical defects, implement metadata, structured data, redirects, canonicalization, internal linking, sitemaps, and robots directives. Collaborate with marketing, search, design, and engineering teams, automate recurring audits, troubleshoot web technologies, validate launches, monitor regressions, and improve visibility across traditional and AI search platforms.

Designs, deploys, and supports secure, scalable AWS infrastructure using Terraform and GitLab CI/CD. Responsibilities include automation, monitoring, incident response, IAM administration, application support, backups, upgrades, documentation, disaster recovery, and audit support. Collaborates with development, security, infrastructure, and data teams while participating in on-call operations and guiding cloud architecture and deployment decisions.

Design, build, and operate distributed storage and file-system platforms for cloud-scale AI training and inference. Architect storage and caching for Kubernetes and GPU workloads, improve performance, reliability, observability, and resiliency, diagnose cross-layer production issues, and lead architecture reviews. Partner across infrastructure, networking, operating systems, and AI platform teams while mentoring engineers and shaping long-term storage strategy.

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.

Lead the architecture, technical strategy, and roadmap for Microsoft's Windows ML compiler stack. Design high-performance compiler infrastructure, execution engines, optimization frameworks, and developer tools supporting CPU, GPU, and NPU workloads. Drive NPU enablement, graph optimization, scheduling, memory management, code generation, and hardware abstraction. Partner with silicon vendors and internal teams, influence AI hardware and platform strategy, lead cross-team initiatives, and mentor engineers developing on-device and generative AI capabilities.

Performs manual and automated testing for CMS healthcare marketplace systems, including security, API, regression, performance, functionality, and usability testing. Develops and executes test scripts, participates in Agile ceremonies and code reviews, tracks and documents defects, produces test reports, and supports continuous testing improvements. Requires Java and JavaScript testing experience, testing administration and defect tracking tools, NoSQL familiarity, strong communication, and eligibility for Federal Public Trust.

Designs and develops foundational Azure compute platform technologies. Leads architecture and design for complex systems, writes secure and performant production code, establishes test strategies, performs code reviews, debugs system issues, and drives cross-team technical alignment. The role also applies AI-enabled engineering practices, improves engineering quality, and supports security hardening across cloud infrastructure solutions.

Analyze cloud and Kubernetes usage to identify cost inefficiencies, anomalies, and optimization opportunities. Build scripts, API integrations, dashboards, forecasts, and repeatable workflows to improve cloud-cost visibility and efficiency. Partner with engineering, product, finance, architecture, and leadership teams to implement recommendations, support commitment planning, and expand FinOps practices through tools, standards, documentation, and education.

Own and extend Airbnb’s Minerva semantic layer and data-authoring platform. Build core services, including query rewriting, and deliver reliable systems that help internal users define and consume business metrics. Scope ambiguous, cross-team initiatives, partner with users and product teams, evaluate data and database technologies, and manage design, implementation, testing, deployment, and on-call responsibilities.

Develop and deploy automated system tests for distributed systems, collaborate with developers and QA teams, create test plans, verify requirements and test coverage, improve testing methodologies, and solve large-scale software automation and verification problems using coding and software development.

Designs, develops, tests, implements, maintains, and supports software applications and platform capabilities for internet security, content delivery, APIs, and cloud computing. Responsibilities include architecture, automated testing, system improvements, feature development, and customer-focused software support. The role requires experience with distributed data processing, network security, information retrieval, databases, algorithms, web applications, Java, Python, SQL, and Linux/Unix platforms.

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.

Own and improve Glydways’ Bazel monorepo infrastructure across C++, Python, and Go. Responsibilities include implementing remote caching and remote build execution, optimizing build and test performance, maintaining toolchains and dependencies, supporting embedded cross-compilation, improving CI/CD workflows with AWS and Buildkite, developing developer automation, monitoring build health, and participating in on-call support.

Build and maintain responsive web, PWA, and mobile app experiences; design secure APIs and third-party integrations; develop conversational AI and voice bots; implement targeted messaging, ad-tech, analytics, and A/B testing; and optimize performance, reliability, and uptime. The role requires full-stack development, marketing technology integration, cloud and DevOps fundamentals, and collaboration in a fast-paced startup environment.

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.

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.

Design and build automation platforms, validation systems, telemetry pipelines, performance frameworks, and diagnostic tools for qualifying next-generation Azure Storage hardware. Investigate distributed software, hardware, firmware, networking, and operating-system issues; analyze performance data; improve scalability and reliability; and contribute to technical architecture across Azure Storage infrastructure.