Top Python Jobs in Miami, FL

You will develop and maintain components of the LLVM based toolchain, collaborating with the community while ensuring platform-specific optimizations and tests.

Define the architectural foundation for processing unstructured data for LLM applications. Oversee the core platform's development and mentor engineering teams.

The Staff Engineer will build data-driven experimentation systems, lead statistical engine design, ensure correctness in A/B testing, and mentor team members while collaborating cross-functionally.

The Forward Deployed Engineer integrates CrewAI's products into client systems, ensuring successful implementation by understanding technical requirements and business contexts. They lead deployable solutions, conduct workshops, and monitor performance, ultimately enhancing client satisfaction and value delivery.

Lead Fullstack Developer responsible for team leadership, architectural decisions, and implementation of backend and frontend solutions using various technologies, with a focus on AI.

As a Solutions Architect, you will work on big data solutions, guide customers through implementation, and collaborate with teams on data engineering and science projects.

Architect and build scalable Salesforce and adjacent-system solutions for the opportunity lifecycle. Design front-end (Visualforce/SLDS) and backend (Flows, Apex, Batch), third-party integrations, and data pipelines. Translate business requirements into technical design, lead end-to-end projects, collaborate with global stakeholders, and ensure platform health and user experience for GTM teams.

The Software Engineer will design and implement reliable services and APIs using Golang and Python, ensuring performance, scalability, and system reliability while collaborating with cross-functional teams.

Deploy, operate, and support the Istari platform across customer environments, including cloud, on-premises, Kubernetes, and air-gapped deployments. Configure infrastructure as code, networking, identity federation, IAM, secure data sharing, and production services. Troubleshoot complex infrastructure issues, build reference architectures, and communicate with technical and non-technical customer stakeholders. The role requires strong DevOps and Kubernetes expertise, automation skills, customer-facing consulting experience, and familiarity with regulated environments.

Lead integrated photonic device and circuit layout, supporting commercial foundry PDK development and quantum photonic platforms. Build PCell libraries and automated Python-based layout workflows, own full-reticle tapeouts from floorplanning through GDS generation, perform DRC/LVS verification, lead layout reviews, and collaborate with fabrication and test teams to validate components against measured performance.

As an FSR Engineer, you will deploy and maintain a data and application platform, integrate data, customize applications, and troubleshoot issues in production environments.

Design, implement, and deploy autonomous navigation, planning, and decision-making systems for eVTOL aerial platforms. Build real-time autonomy software for constrained embedded/Linux environments, integrate with flight controllers and sensors, run simulation (SITL/HITL) and flight tests, and collaborate across perception, GNC, flight software, and hardware teams.

The role involves leading a development team, managing project timelines, performing hands-on coding, and aligning technical efforts with business goals.

Lead technical operations for a hybrid cloud estate (AWS, Azure, on-prem). Drive automation, IaC with Terraform, CI/CD, disaster recovery, migrations, observability, and incident response. Mentor engineers, partner with security/platform teams, and optimize reliability, cost, and lifecycle management across cloud and data center environments.

Designs, builds, and maintains integrations across Microsoft 365, the Power Platform, AI/Copilot, and line-of-business apps. Implements connectors, APIs, authentication patterns, and Copilot Studio agents; ensures security and compliance; drives adoption through documentation, training, monitoring, and iterative improvements; partners with Cloud Services, InfoSec, and business stakeholders.

Build and mature DevOps automation processes and infrastructure. Own the GitLab foundation, including repository standards, CI/CD pipelines, testing, releases, and deployment coordination. Maintain automation and orchestration platforms, define cloud, virtualized, and physical infrastructure requirements, and establish safe AI-assisted automation policies. Partner with security, risk, systems, NOC, and business teams on requirements and deployment. The role requires Python, AWS, Ansible, Terraform, Docker, network automation, and release management expertise.

Build end-to-end software, workflow automations, and AI-enabled products that improve operations and resident experiences. Partner with business teams, move across the stack, run experiments, and own solutions from discovery through rollout and adoption.

The Senior Software Engineer will develop reliable systems for IoT fleet management, create user interfaces, and support data engineering tasks.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

The Senior Platform Engineer designs and operates Kubernetes infrastructure, automates tasks, enforces platform standards, and collaborates across teams to improve engineering velocity and scalability.

Design, build, and support cloud-native full stack or backend Java products using TDD, CI/CD, microservices and event-driven patterns. Collaborate with product teams, provide production support, implement monitoring and ensure secure, performant systems.

The Engineering Manager will lead teams building a scalable device passport platform, mentor engineers, manage backlog, and contribute coding while ensuring quality and documentation standards.

As a Senior Software Engineer, you will architect and implement Python-based systems, lead feature design and delivery, ensure scalability and reliability, and mentor junior engineers.

As a mid-level Software Engineer, you'll deliver Python-based platform features, collaborate with teams, and maintain system reliability and scalability.

Responsible for maintaining and enhancing data warehouses and pipelines, developing scalable ETL processes, data analysis, and reporting through visualization tools like PowerBI.