Top Python Jobs in Miami, FL

Join as an FPGA engineering intern to design, implement, and test FPGA solutions for ultra-low latency trading systems. Improve system efficiency and performance via RTL coding, synthesis, simulation, and hardware validation while collaborating in small teams with engineers and business stakeholders.

Develop high-performance research platforms and tools that bring trading strategies to life. Work in small teams to design, build, and deploy resilient systems using distributed computing, NLP, and machine learning to solve large-data problems in finance.

The Senior Platform Infrastructure Engineer will design, develop, and maintain infrastructure software, collaborate with teams, and troubleshoot issues across trading systems.

Senior Solutions Engineers drive technical discussions, work on solution designs, and advise customers on best practices to implement Cloudflare products.

As a Solution Architect Senior Manager, you will lead software solution development, drive digital transformation, and oversee teams through complex projects while maintaining client relationships.

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

The Senior Site Reliability Engineer will develop and support distributed storage services, ensuring reliability and operational safety, with a focus on automation and efficiency.

Lead full stack application migrations to AWS, architect solutions, mentor teams, and drive AI-native engineering strategy while ensuring cloud readiness and modernization.

The Engineering Manager will lead software innovation, manage cross-functional teams, oversee project execution, and mentor junior talent to enhance software solutions and client relationships.

Lead engineering and program management efforts for software solutions, mentor teams, oversee project planning, and ensure client satisfaction.

Lead software development and innovation efforts, mentor teams, manage projects and client relationships, and implement software solutions that drive digital transformation.

Design, build, and operate distributed platforms, backend services, APIs, and data systems to support quantitative research, large-scale simulations, AI applications, and analytics. Improve performance, reliability, and scalability while collaborating with researchers to productionize research workflows.

The Solutions Engineer will lead technical engagements throughout the sales cycle, validating solutions, advising clients, and collaborating across teams to meet customer needs and drive business growth.

The Site Reliability Engineer will provide support and diagnose issues within a real-time, distributed environment, focusing on large-scale application and infrastructure management, with basic required skills in UNIX/Linux, networking, SQL, and scripting languages.

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.

The role focuses on implementing cost optimization solutions for cloud infrastructure through automation and collaboration across teams, enhancing FinOps practices.

Lead development of guidance, navigation, and control (GNC) systems from concept to flight-ready software. Design and simulate algorithms, translate requirements into embedded implementations, support HIL and flight test, analyze test data, coordinate across vehicle design, avionics, structures and testing, and document results while mitigating technical risk.

Build and maintain multi-cloud infrastructure standards, self-service tooling, and paved-road defaults across AWS and GCP. Partner with compute, security, and networking teams to embed guardrails, drive standardization, lead cross-team initiatives, and resolve systemic operational issues to ensure secure, scalable, and reliable platform infrastructure.

Design, build, and own backend services for prediction markets across market lifecycle: creation, trading, oracle resolution, settlement, and payouts. Build low-latency, high-throughput microservices and event-driven systems, drive reliability via SLOs and observability, lead incident response, set technical standards, and mentor engineers while partnering cross-functionally to deliver product and compliance-aligned roadmaps.

Build and own a vendor schema registry and semantic validation pipeline that ingests OpenAPI/Swagger/Smithy specs, tracks schema evolution, detects semantic and breaking changes, and provides SDKs and developer tooling to safely map vendor APIs into a canonical knowledge graph used by downstream teams.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.

Maintain and optimize SaaS production and demo environments, respond to and resolve incidents, manage Jira-based incident workflows, use Dynatrace and observability tools for troubleshooting, automate operational tasks, enforce security best practices, document runbooks in Confluence, participate in on-call rotation, and collaborate cross-team to improve reliability and performance.

Lead architecture and delivery of large-scale React and React Native frontends. Define frontend strategy and best practices, build shared component libraries and design systems, optimize performance and accessibility, collaborate with product/design/backend teams, mentor junior engineers, and resolve complex frontend and cross-stack issues.

Design, build, and maintain scalable AWS and Azure infrastructure using Infrastructure-as-Code. Develop automation, deployment pipelines, and production release processes. Contribute code to cloud services, manage networking and IAM, ensure availability and security, and respond to incidents while collaborating on observability and security practices.

Design, implement, and optimize high-performance backend systems in Rust for an xOT security platform. Participate across the development lifecycle—debugging, testing, and performance tuning—while integrating relational and NoSQL data stores, microservices, third-party devices, and AI tools. Provide technical leadership, code review feedback, and promote secure, reliable, observable distributed systems.