Top Python Jobs in Miami, FL

Design and optimize storage systems at scale, implementing caching strategies and ensuring data availability and performance for a large user base.

The QA Engineering Internship at Chartbeat involves collaborating in a small scrum team to develop and maintain data systems, while gaining hands-on experience with Python and front-end technologies like React and Angular.

As a Platform Engineer, you will design, implement, and optimize infrastructure solutions, automate deployment processes, and ensure system reliability while collaborating with engineering teams.

The role involves transitioning infrastructure to cloud, building tools for compute resource provisioning, and automating processes for a technology-driven firm.

As a Senior Software Engineer, you will enhance the enrollment process, lead complex projects, design scalable systems, and mentor junior engineers. Collaborate with cross-functional teams to improve member outcomes through technical innovation.

The Senior Engineer will analyze aircraft loads, perform structural and aerodynamic analyses, support testing campaigns, and ensure compliance with certification requirements.

Join Veeam as a Cloud Engineer focusing on Azure and AI solutions. Responsibilities include designing infrastructure, managing AI workloads, and implementing IaC practices.

The Staff Device SRE will build and maintain a scalable test platform, ensuring reliability and integrating with various teams for software testing and hardware control, with a focus on advanced infrastructure practices.

Manage a team of cloud engineers to govern and optimize a multi-cloud environment while implementing security frameworks and managing vendor relationships.

The Principal Software Engineer will lead the technical architecture of a healthcare software platform, ensuring compliance and quality while mentoring a team. Responsibilities include overseeing software stack integrity from embedded devices to cloud infrastructure and collaborating across functions to meet regulatory and product goals.

This role involves building CI/CD pipelines for AI agents and cloud-native applications, automating workflows, and collaborating with development teams to enhance delivery practices.

The Lead Systems HPC Engineer will optimize GPU clusters' performance, troubleshoot issues, integrate new hardware, and collaborate with teams on system-level software development.

As Engineering Manager for Processing, lead the development and maintenance of real-time interfaces between Lithic and payment networks, ensuring reliability, low latency, and high availability. Collaborate with teams to enhance infrastructure and oversee initiatives from planning to launch, fostering growth among engineers, and maintaining industry standards.

The Senior Software Engineer will design, build, and maintain backend services and REST APIs while supporting data pipelines and governance practices within the Infrastructure team.

The role involves building and scaling platform components, collaborating with product teams, and setting technical direction for features. Requires experience in backend engineering.

The Platform Engineer will develop and maintain platform infrastructure, solve problems, and bridge communication between applications and production environments.

The role involves designing and implementing distributed systems, collaborating with teams to develop features, and adopting best software practices.

As an SDET, you'll develop and maintain test automation frameworks, ensure API quality, collaborate with teams, and mentor others in testing practices.

The role involves full-stack development on financial technology solutions, focusing on user-facing applications, internal tools, and data pipelines, requiring collaboration across teams.

The Backend Engineer will design, build, and scale Veda's backend systems, ensuring reliability and performance for DeFi applications.

Design, implement, and manage scalable AWS cloud infrastructure, ensuring performance and security, while collaborating with development teams for cloud-based application deployment.

As a Staff Machine Learning Engineer, you will develop, productionize, and deploy ML models for clinical use, ensuring real-world effectiveness through hands-on coding and infrastructure building.

As a Backend Software Developer, you'll design and implement microservices, model data in MongoDB, and ensure systems' reliability and performance. You'll work with AI capabilities and partner integrations, emphasizing CI/CD and observability.

Lead the reliability and scalability of BRINC's production systems, building secure cloud infrastructure and improving incident response. Collaborate with teams for optimal system performance.

The Software Engineer will manage data collection, operate cloud infrastructure, and collaborate with scientists to enhance AI models at Speechify.