Top Senior Python Jobs in Miami, FL

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

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.

The Staff Software Engineer will architect and implement scalable data systems, collaborate with teams, mentor engineers, and ensure data integrity.

Designs and maintains network automation, Infrastructure as Code, configuration management, orchestration, and compliance solutions across enterprise and data center environments. Integrates networks with monitoring, CMDB, ITSM, and source-of-truth platforms; develops reusable frameworks, workflows, and libraries; mentors technical teams; supports DevOps, troubleshooting, documentation, and continuous improvement. The role also contributes to technical standards, cross-functional projects, planning sessions, site visits, and vendor engagements.

Build and maintain full-stack wealth management platform features using Python and Angular or React. Design service-oriented architectures and REST/SOAP APIs, work with relational databases and ORMs, contribute to AWS or Azure cloud architecture, and deploy using container technologies. Collaborate in Agile/Scrum ceremonies, participate in code reviews and demos, and work independently with distributed teams.

Build and maintain full-stack software products across frontend, backend, data, and AI layers. Own product architecture, deployment, observability, reliability, and maintenance; establish unified data models, secure access controls, AI guardrails, and engineering standards. Collaborate directly with non-engineering users to create self-service workflows and translate ambiguous needs into practical solutions. Ship production LLM-powered systems and support governed data transformation, quality, lineage, and testing.

Build, test, deploy, and maintain accounting software for transaction categorization, revenue recognition, and accurate financial reporting. Own projects end to end, create technical designs and rollout plans, conduct code reviews, collaborate cross-functionally, investigate production issues, improve reliability, and mentor teammates. The role involves working with typed Python, JavaScript, TypeScript, Vue.js, Terraform, AWS, and PostgreSQL in a remote environment.

Lead ambiguous, multi-team software projects for core accounting systems. Set technical direction, make architectural decisions, build and deploy reliable software, review technical specifications, investigate production issues, and improve system reliability. Collaborate with product and cross-functional stakeholders, mentor and sponsor engineers, and maintain high standards for clean, tested code. The role focuses on typed Python backend services, financial systems, integrations, and cloud infrastructure.

Design and implement scalable, secure cloud-native microservices and data platforms. Collaborate with product and stakeholders, mentor junior engineers, build CI/CD pipelines, and translate business needs into developer-ready stories.

Assess, design and improve AWS/Azure cloud environments for security, cost, networking, storage, serverless and containerized deployments. Provide L2+ incident support, create SOPs, mentor junior staff, support Linux/Windows servers, document architecture, participate in governance/change processes, and join a 24/7 on-call rotation.

Design, implement, and maintain scalable AWS infrastructure; automate deployments and configuration; monitor and troubleshoot production systems; collaborate with development teams for smooth feature rollouts; improve infrastructure and application security; stay current with AWS and DevOps best practices.

Build end-to-end product features and intuitive interfaces/APIs for document and workflow management. Lead design and implementation, collaborate with engineering to ship polished products, monitor success, and optimize frontend performance.

Lead platform reliability: define SLOs/error budgets, own observability and deploy pipelines, harden integrations with dental systems, operate LLM-driven workflows safely, build incident practices, and raise engineering reliability across the company.

Lead the on-vehicle autonomy team to design, build, integrate, and field autonomy software for autonomous surface vessels. Own navigation, planning, control, behaviors, safety logic, and autonomy execution; drive architecture, testing, simulation, HIL, field deployments, and cross-functional integration while mentoring engineers and ensuring mission-ready, maintainable autonomy systems.

Lead and own AWS infrastructure for an LLM-powered enterprise coaching product. Design scalable IaC (Terraform, Ansible), CI/CD, autoscaling, networking and security (SIEM, EDR/XDR). Optimize costs, ensure high availability, collaborate with application and AI teams, and implement enterprise-grade security and compliance for Fortune 500 deployments.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.

The role involves developing and verifying SoCs, creating test plans, debugging, and collaborating with various experts to ensure competitive solutions.

Lead implementation of software safety programs for underwater robotic/autonomous vehicles per MIL-STD-882. Produce safety plans and assessments, perform hazard analyses, track coverage metrics, catalog safety artifacts, review software independently, and present findings at reviews and customer meetings. Coordinate across programs and support demanding schedules with occasional travel.

The role involves building decision science libraries and tools for mineral exploration, collaborating with teams to improve decision-making processes.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

Build and operate Nebius's network infrastructure: define SLIs/SLOs, improve site and inter-site reliability, lead incident response and postmortems, develop observability and alerting, automate change workflows, and collaborate with network and platform teams to embed operability.