Top Senior Python Jobs in Miami, FL

Architect and deliver complex distributed systems using Azure cloud-native technologies, microservices, APIs, and event-driven patterns. Lead architecture reviews, reliability initiatives, performance optimization, incident response, and root-cause analysis. Drive adoption of AI-assisted development tools while maintaining security and code quality. Collaborate across engineering, DevOps, QA, and product teams, and mentor engineers on technical design, development practices, and AI-enabled workflows.

Build and maintain full-stack donor-facing giving forms, payment flows, recurring giving, memberships, and administrative tools. Own projects from architecture through production support, ensuring reliability, accessibility, performance, and data integrity. Collaborate with product managers, designers, and engineers; mentor junior engineers; contribute to technical standards, security monitoring, hiring, and rotational on-call support. Potentially serve as a Tech Lead for roadmap implementation and technical decision-making.

Design and build developer platforms, backend tooling, SDKs, test infrastructure, reusable components, evaluation frameworks, and AI-assisted engineering workflows. Own architecture across distributed systems, observability, governance, reliability, and developer productivity. Influence technical strategy across teams, establish engineering standards, mentor senior engineers, and drive multi-quarter platform investments. The role is hands-on and focused on enabling backend, mobile, ML, and web teams to deliver reliable software faster.

Leads Azure, AWS, and hybrid cloud deployment, migration, modernization, networking, security, automation, governance, backup, and disaster recovery projects. Designs highly available cloud architectures, implements Infrastructure as Code, supports virtual desktop environments, assesses customer readiness, and develops migration roadmaps. Provides technical leadership, mentoring, escalation support, architecture review participation, and customer advisory services.

Leads end-to-end Salesforce data migration and integration initiatives. Designs ETL processes, writes SQL and SOQL queries, develops automation scripts, performs data profiling and transformation, resolves migration issues, and ensures data quality, security, governance, reconciliation, and cutover readiness. Collaborates with Salesforce, integration, and business teams while documenting repeatable migration procedures and leveraging AI tools.

Develop and maintain IoT edge technology, including cloud architecture, device firmware, fleet management, remote connectivity, and software updates. Build scalable systems that receive data from and manage thousands of devices, ensure fleet uptime and quality, and collaborate with customers, field support, manufacturing, and engineering teams. The role requires production software development, AWS and database experience, Linux knowledge, and basic electronics familiarity.

Hands-on Software Architect to design and build full-stack, AI-enabled SaaS products and internal tools. Define architecture, reusable components, CI/CD, security, and AI-assisted development practices. Write production code, lead technical decisions, integrate LLMs/RAG/agents and vector search, and establish standards for deployment, testing, and maintainability while accelerating prototype-to-MVP delivery.

Provide tier-2 technical support and administration for lottery platforms, troubleshoot availability and performance issues, support customer implementations, maintain monitoring and documentation, manage SLAs, and participate in 24x7 on-call rotation. Work primarily with Windows Server and SQL Server, plus some Ubuntu and Java/WildFly support.

Lead technical direction and architecture for a software team, write production code, mentor engineers through reviews and pairing, partner with product to align roadmap and technical plans, resolve technical risk and tech debt, and establish engineering standards and tooling.

Design, build, and operate scalable, fault-tolerant distributed data infrastructure and platform tooling. Collaborate cross-functionally to architect high-impact systems, contribute to library and platform development, and improve deployment, control, and observability for large-scale data systems.

Design, build, and operate scalable, resilient distributed systems for Netflix's Open Connect CDN. Develop cloud services, steering algorithms, deployment automation, data pipelines, and operational tooling to optimize quality-of-experience, hardware utilization, and cost efficiency while enabling real-time adaptation and reliable production operations.

Design, build, and maintain web application infrastructure and data systems for interactive information experiences. Lead application architecture, code quality, performance, and reliability; integrate generative AI and prototype XR interfaces; collaborate with designers and data scientists; ensure security, accessibility, scalability, and document technical standards.

Design, build, and operate cloud-native, large-scale distributed data infrastructure (Spark, Presto/Trino, Druid, Iceberg). Improve performance, scalability, and reliability, collaborate cross-functionally, and contribute to open-source projects.

Design, build, and maintain tools and services for Active Directory and cloud identity platforms. Implement security policies and access controls, collaborate on Azure and Google Workspace deployments, automate integrations via APIs and CI/CD, maintain runbooks, participate in on-call rotation, and support AWS infrastructure for production systems.

Design and build backend services and core user experiences for banks and customers. Implement REST APIs, integrate third-party services (Plaid, SendGrid), apply domain-driven design and microservices, perform system design, code reviews, and mentor teammates.

Lead and grow a backend engineering team while staying hands-on: design and build Python/FastAPI services with Temporal and Postgres, own roadmap and delivery, set SLIs/SLOs, drive observability and reliability, run engineering rituals, hire and coach engineers, and improve quality with DevOps and AI tooling.

Provide advanced application development, integration, and troubleshooting for DDC/BMS/BAS projects. Configure BACnet/Modbus gateways, develop control databases and interfaces, support commissioning and service teams, review portfolio standards, mentor junior engineers, and participate in customer technical meetings and project lifecycle documentation.

The Senior Full Stack Engineer will design and maintain features across backend and frontend systems, focusing on scalability and security while collaborating on production-grade solutions in a fast-paced environment.

The role involves embedding with client teams to build AI features, manage integrations, and ensure project deliveries are met. Candidates must have extensive production software experience and be comfortable working hands-on with clients.

Design, develop, and maintain custom Salesforce solutions (Apex, Visualforce, Lightning). Build AI-powered features using Salesforce Einstein and Agentforce, lead integrations, ensure data quality for AI readiness, manage deployments, test deliverables, and mentor junior developers.

Lead design and scaling of a high-performance, data-intensive storage layer for network telemetry. Co-own multi-year roadmap, collaborate with product/support/sales, and solve challenging distributed storage and query-performance problems at large scale.

The Full Stack Engineer will architect and build 'The SOURCE®' platform, integrating AI and automating workflows while ensuring scalability and simplicity.

The Principal Engineer will guide architectural strategy, solve complex technical challenges, mentor engineers, and ensure compliance with healthcare standards.

Lead development of AI-powered full-stack applications, mentor engineers, define technical direction, build performant front-end and scalable backend services, integrate LLMs/RAG, and establish engineering best practices for production AI workflows.

The Infrastructure Architect integrates the Epistemix platform into client environments, designs technical strategies, and ensures compliance with standards while managing complex deployments.