Top Python Jobs in Miami, FL

Design and build backend systems for finance and accounting modules within an AI-native ERP platform. Responsibilities include modeling invoicing, payments, and financial reporting data; developing Python and FastAPI services with PostgreSQL; building integration APIs; aggregating operational and financial data; and owning greenfield features from design through deployment. The engineer will primarily own backend systems while contributing to React frontend development as needed.

Own backend-heavy product and platform engineering from design through production. Build and scale distributed systems supporting large-scale mortgage transactions, design reliable infrastructure for regulated workflows, contribute to architecture and engineering standards, and collaborate with product, infrastructure, and platform teams. Use AI coding tools while maintaining rigorous human review and correctness.

Build end-to-end frontend and backend features for a voice AI trust platform while working directly with enterprise customers. Responsibilities include customer discovery, debugging, proofs of concept, product decisions, reusable platform development, and post-sales technical support. The role requires TypeScript and Python proficiency, AI coding tool fluency, strong product judgment, clear communication, and approximately 10%–20% travel.

Design, build, and maintain People systems automations and integrations (Workato, Workday, Greenhouse, Slack) using production-quality code. Improve CI/CD, reliability, observability, and AI-driven automation (Claude, MCP). Serve as technical lead for People Technology, partner with stakeholders, and drive scalable, maintainable automation solutions.

Develop and test software for Motorola Solutions’ mission-critical Android and digital communication systems. Responsibilities span requirements capture, software design, implementation, and testing using object-oriented development, Agile methodologies, and Test Driven Development. The intern will collaborate with engineering teams developing microprocessor-based communication products.

Develop and maintain Palantir MSS dashboards, applications, data pipelines, ontology, access controls, visualizations, alerts, and AI workflows. Integrate external data, optimize platform performance, support operators, document analytical methods, and collaborate with mission leaders to deliver operational decision-support solutions. The role requires onsite work in a SCIF and active U.S. government clearance.

Design, build, and maintain scalable AWS and Azure infrastructure using Infrastructure-as-Code. Develop automation, deployment pipelines, and production release processes. Contribute code to cloud services, manage networking and IAM, ensure availability and security, and respond to incidents while collaborating on observability and security practices.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

Lead development of guidance, navigation, and control (GNC) systems from concept to flight-ready software. Design and simulate algorithms, translate requirements into embedded implementations, support HIL and flight test, analyze test data, coordinate across vehicle design, avionics, structures and testing, and document results while mitigating technical risk.

Architect and refine scalable cloud infrastructure software for enterprise and internet-scale environments. Responsibilities include developing robust software, designing systems supporting 1,000+ nodes, optimizing performance, and collaborating with distributed technical teams in agile environments.

The Lead Architect will develop backend services, oversee integration with imaging facilities, set coding standards, mentor engineers, and ensure fault-tolerant systems while adhering to healthcare data standards.

Designs, builds, deploys, and supports full-stack enterprise applications using Databricks and Azure. Develops user interfaces, backend logic, APIs, workflows, secure write-back, reporting, forecasting, planning, and operational tools. Integrates enterprise platforms including SAP, Salesforce, and Power BI. Partners with business, data, and analytics teams, supports production applications, and establishes delivery standards while coordinating offshore development resources.

Develop, modernize, operate, and maintain mission-critical software for CNMOC. Responsibilities include architecture, coding, testing, debugging, ETL/ELT pipeline development, data integration, cloud and container operations, translating customer needs into user stories, sprint delivery, technical communication, and mentoring developers. The role also supports geospatial systems, databases, DevSecOps practices, Agile ceremonies, and customer issue escalation.

Advise enterprise customers on designing, securing, administering, and deploying Databricks environments on Microsoft Azure. Architect scalable cloud infrastructure, networking, identity, disaster recovery, observability, and infrastructure-as-code solutions. Support pre-sales activities through proof-of-concept architectures and technical content, while sharing expertise through training, tutorials, hackathons, conferences, and open-source contributions.

Lead design and delivery of full-stack, AI-powered products and platform capabilities. Own technically complex, mission-critical areas end-to-end, partner with product and customer teams, scale data ingestion and APIs, and mentor engineers to raise engineering quality and velocity.

Senior SRE owning availability, automation, and observability for CI/CD platform services. Build and operate infrastructure, run on-call, lead incident response, mentor engineers, drive design/capacity planning, integrate AI-assisted workflows, and improve cross-team reliability.

Lead a global network engineering team to design, scale, and operate large-scale IP and optical backbone and hybrid cloud connectivity. Own technical roadmap, cloud connectivity strategy, automation, vendor relationships, hardware/software integration, testing, tooling, DDoS mitigation, operational excellence, and participate in 24x7 on-call rotations while ensuring compliance in regulated environments.

Lead a mainframe storage engineering function supporting highly available IBM Z compute and storage platforms. Configure IBM DS8000 and TS7700 infrastructure, manage DFSMS storage policies, backups, replication, disaster recovery, capacity planning, and REXX automation. Troubleshoot outages and dataset access issues, conduct root-cause analysis, and execute complex storage migrations. The role requires expertise in z/OS storage utilities, tape management, FICON, replication protocols, resiliency technologies, and storage performance.

Lead the developer experience roadmap and own multi-language SDKs and the code-generation pipeline. Design CI, release automation, observability, and tooling (CLI, starter repos). Improve cross-language parity, docs, and developer onboarding; remove systemic friction and represent DX to Product, Engineering, and Partnerships.

Lead technical strategy and execution for a backend ledger team building highly available, audit-grade financial systems. Drive architecture, reliability, monitoring, on-call practices, code quality, cross-functional collaboration, and mentoring to ensure accurate, scalable ledger operations.

As a Billing & Analytics Software Engineer, you'll design and maintain the billing pipeline, integrate billing systems, and develop customer-facing analytics dashboards to support revenue recognition and operational observability.

Lead the development of healthcare applications and data systems, focusing on audience intelligence and compliance. Design scalable data pipelines, APIs, and reporting systems while ensuring high data quality and security in regulated environments.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Design, develop, deploy, and maintain scalable Workday Finance software, APIs, backend services, distributed systems, and data models. Support financial transactions, accounting, billing, revenue, reporting, reconciliation, and auditability. Troubleshoot production issues, improve reliability and observability, contribute to CI/CD and testing, participate in architecture decisions, and mentor engineers while partnering with Product Management and Finance experts.

Lead the entire engineering organization: set technical vision, architecture, and operating model; recruit and develop managers; own delivery, reliability, security (SOC 2), budgeting, and metrics; improve velocity while reducing technical debt; partner with product and execs to drive roadmap and org-scale decisions.