Top Senior Python Jobs in Miami, FL

As a Senior Implementation Engineer, you'll own technical projects, enhance the Java codebase, automate processes, integrate systems, and collaborate with customers on infrastructure design.

Seeking a Senior DevOps Engineer for OpenSesame, focusing on CI/CD pipelines, cloud infrastructure, and automation. Responsibilities include improving developer experience and mentoring teams.

The Senior Software Engineer, Infrastructure will enhance Epic's platform reliability, manage GCP infrastructure, and improve CI/CD processes while ensuring observability and security best practices.

As a Sr. Software Engineer at VGS, you'll develop and maintain the Credential Management Platform and enhance the Event Pipeline, collaborating across teams to build high-throughput services.

Design and maintain real-time vehicle-tracking, map-matching, ETA prediction, and disruption-detection systems. Build and scale real-time data pipelines, cloud backend services, and APIs. Develop infrastructure for algorithm validation and shadow testing, collaborate across product and design to prototype and deliver end-to-end features, and apply modern engineering practices through code reviews, pairing, and documentation to ensure reliable production systems.

The Senior HPC Cluster Engineer will optimize GPU clusters, troubleshoot InfiniBand networks, integrate new hardware, enhance automation systems, and manage GPU devices in HPC environments.

The Senior Product Engineer will oversee the development of ArcGIS web services, ensuring reliability and scalability while balancing customer needs and product goals.

Design and develop high-performance services and APIs, focusing on cloud-based applications using Golang and Python, while ensuring code quality and security.

Lead design, development, and implementation of complex software systems for life & annuity policy administration. Provide technical leadership, mentor engineers, architect scalable mainframe solutions, troubleshoot critical issues, and collaborate with stakeholders to meet performance, reliability, and security goals.

Lead design and development of scalable, secure data pipelines and analytics for federal health IT. Build and optimize PySpark/Python batch processing, implement Airflow orchestration, develop serverless AWS components, produce BI dashboards, ensure code quality and test automation, translate federal requirements into software, and mentor team members.

Embed with customers to discover needs, design and implement production-grade integrations (APIs, data pipelines, event-driven workflows), deploy and troubleshoot solutions, train IT teams, and drive adoption and measurable business outcomes.

Design, build, and operate distributed, data-intensive backend systems and pipelines. Own production data infrastructure (streaming, batch, analytical stores), debug production incidents, participate in on-call rotations, partner with product and frontend teams, write/review architecture and code, and improve observability, reliability, and deployment practices.

Support and maintain production Core Speech systems: deploy, monitor, alert, perform capacity planning, respond to on-call incidents, and drive system performance and architecture improvements.

Build and maintain scalable, cloud-native full‑stack features and services. Collaborate with Product and Design to prototype, deliver, and document solutions. Work across backend and frontend, apply modern engineering practices, mentor teammates, and own product domains to improve transit operations.

The Lead Technology Engineer will lead IT systems implementation, ensure network security, manage integrations, and enhance operational efficiency through automation.

Design, program, test, and commission PLC and SCADA systems (Siemens and/or Rockwell) for cooling and mechanical plant equipment. Build supervisory logic, SCADA/HMI, safety interlocks, integrate OEM equipment via industrial protocols, create digital twins, lead field commissioning, and develop surrounding software, data pipelines, and tooling.

Develop, test, and maintain a complex distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements. Work with distributed workloads (Spark/Hadoop), SQL/Snowflake, AWS, shell scripting, and job scheduling/process automation. Support delivery under Agile/SAFe practices and ensure alignment with program standards.

Lead Software Engineer responsible for designing, developing, testing, and maintaining a distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements, implement cloud and big-data solutions (Spark/Hadoop), and ensure program standards and reliable delivery.

Lead and grow the IT Engineering team while hands-on securing endpoints, offices, networks, and SaaS tools. Implement automation-first workflows (scripting, IaC), manage MDM and identity systems, support office buildouts, ensure SOC 2/ISO 27001 compliance, mentor engineers, and collaborate with Security and Operations.

Design, implement, optimize, and audit Solidity smart contracts and DeFi primitives (vaults, lending, staking). Build adapters, connectors, and plugins, contribute to greenfield financial products, support security audits, and occasionally build supporting full-stack tooling like frontends and indexers.

As a Senior Systems Engineer at Iru, you'll lead Windows software distribution and endpoint configuration, architect infrastructure for automation, and provide technical leadership while driving platform evolution through coding and collaboration with teams.

The Senior Engineer will design, support, and improve end-user technology environments, focusing on endpoint management, automation, and collaboration tools while partnering with cross-functional teams.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.

Design and implement high-performance, low-latency software systems, lead technical architecture discussions, and mentor team members while integrating AI technologies and ensuring scalable backend infrastructure.

The Staff Data Engineer will design and maintain data infrastructure using Azure and Databricks, optimize data workflows, ensure data quality, and collaborate with teams for data-driven decisions.