Top Python Jobs in Miami, FL

Design and operate distributed platforms, data systems, backend services, APIs, and SDKs supporting quantitative research, simulations, AI applications, and large-scale analytics. Build scalable ingestion, transformation, storage, and lifecycle-management systems; improve performance and reliability; and collaborate with researchers and engineers to deliver production-ready infrastructure.

Drives performance engineering and scalability across software systems by identifying bottlenecks, optimizing code, queries, databases, and architecture, and implementing fixes. Builds performance frameworks, data-generation tools, benchmarks, and CI/CD automation using k6, JavaScript, Grafana, and InfluxDB. Establishes performance standards, investigates distributed systems and cloud environments, documents architectural decisions, and collaborates with engineering teams to improve throughput, latency, reliability, and efficiency.

Build and own end-to-end full-stack features across frontend, API, and data layers for the TradeEngage platform. Develop integrations with field service platforms, job routing and matching logic, payment workflows, and technician-facing experiences. Use LLMs and AI tools in production and daily development. Lead projects independently from concept through deployment while collaborating closely with founders, customers, and users.

Own the product roadmap with founders, engage customers, and build and launch production features end to end across frontend, APIs, data, integrations, and AI agents. Define success metrics, instrument products, prioritize based on revenue and usage, and collaborate with Sales and Customer Success on enterprise launches. The role requires hands-on product ownership, production software development, customer discovery, and ongoing accountability for shipped results.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Leads marketing technology architecture, integrations, platform governance, and technical enablement. Designs cloud-native, API-driven solutions across Adobe, Salesforce, CDP, CRM, analytics, and AI platforms; oversees data models, identity resolution, observability, security, and operational health. Manages roadmap prioritization, budgets, vendors, implementations, and a technical team. Establishes AI governance and enables responsible use of generative, predictive, and agentic capabilities across marketing and customer engagement workflows.

Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.

Deploy and integrate Hivemind autonomy software with maritime platforms worldwide. Support customer deployments, software development, on-water testing, training, demonstrations, debugging, documentation, and maritime system integrations involving controls, sensors, navigation, and communications. Collaborate with customers, sales, and product engineering teams to resolve integration issues and improve products.

Own and improve the corporate endpoint environment across macOS, Windows, and iOS. Manage MDM, patching, vulnerability remediation, configuration, monitoring, compliance, and device lifecycle processes. Develop scripts and automation to deploy controls, detect drift, remediate issues, and reduce manual administration. Partner with Security and IT to implement CIS and NIST requirements, investigate complex endpoint problems, and lead technical projects from planning through deployment.

Build and ship custom full-stack programs for AI labs and product teams, including capture flows, task logic, data pipelines, validation, redaction, provenance, and delivery across web, mobile, and backend systems. Partner directly with technical customers to scope ambiguous requirements, determine what to reuse or build, ship production code, establish data quality processes, and turn repeatable custom solutions into core platform capabilities.

Build and maintain automated data quality testing for customer data pipelines. Responsibilities include developing dbt, Soda, and SQL checks; validating schemas, loads, sequencing, and downstream reconciliations; detecting anomalies; managing severity levels and customer overrides; reporting quality metrics; and partnering with engineering teams to embed testing into new pipelines. The role requires strong backend testing, SQL, Python, Airflow, and Databricks experience, along with excellent debugging and communication skills.

Build and optimize growth systems that increase patient bookings and engagement. Design experiments across messaging, outreach, and in-product booking flows; develop backend systems for experimentation and activation; monitor funnel metrics; analyze drop-offs; prioritize growth opportunities; and collaborate with product, design, data, and operations teams. The role emphasizes rapid experimentation, product-led growth, and measurable improvements in activation, conversion, retention, and booking.

Implements B2B EDI and integration solutions for enterprise clients. Responsibilities include analyzing data and business processes, designing mappings, configuring and deploying customer solutions, explaining architecture, supporting project delivery, and collaborating across teams. The role develops expertise in Cleo Integration Suite, APIs, communication protocols, ERP integrations, automation, and AI-assisted implementation documentation and coding.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

Leads Affirm’s Resilience Engineering team, defining strategy and building platforms for safe production load testing and chaos engineering. Responsibilities include developing fault-injection and experimentation systems, implementing isolation and rollback safeguards, improving observability and auditability, driving reliability initiatives, and partnering across engineering, infrastructure, product, and security teams. The manager mentors engineers, establishes resilience practices, and enables organization-wide adoption of proactive system validation.

Lead DoD systems development programs using MBSE, SysML, Cameo, and digital engineering practices. Architect systems, guide teams through the systems engineering lifecycle, establish requirements traceability, customize and automate modeling tools, mentor engineers, and collaborate with software and domain experts. The role supports software-intensive, open-architecture systems across defense mission areas and requires an active Secret clearance with eligibility for Top Secret.

Develop and maintain scalable Python software, integrations, and web applications. Collaborate with QA, IT operations, analysts, and stakeholders in an Agile/Scrum environment. Design technical solutions, translate workflows into requirements, participate in code reviews and Scrum ceremonies, optimize relational and non-relational database queries, troubleshoot production issues, and improve application performance and security.

Design, build, and maintain Airflow-based automation pipelines and services to move files, run scheduled FTP jobs, validate and modify data, monitor application health, parse logs/emails, implement robust error handling and observability, and integrate API-driven systems to reduce manual operational work.

Design and maintain automated testing frameworks for cloud-scale distributed systems. Build performance, load, stress, integration, API, end-to-end, chaos, security, and infrastructure tests. Integrate continuous testing into CI/CD pipelines, analyze observability data, validate Kubernetes and microservices environments, and collaborate with Engineering and SRE teams to improve reliability. The role also participates in on-call rotations and helps establish QA strategy and standards across GPU infrastructure, serverless endpoints, storage, billing, and event-driven systems.

Build and maintain Vue.js interfaces for Openly’s insurance platform, supporting agents and internal users. Responsibilities include implementing UX initiatives, developing administration interfaces, integrating REST and GraphQL APIs, simplifying technical designs, contributing to architectural decisions, testing applications, identifying technical risks, and collaborating across product and engineering teams.

Automates browser-based workflows with Selenium, PowerShell, and Python; extracts and transforms data; supports AWS provisioning through Ansible; performs SQL queries and reporting; identifies workflow automation opportunities; troubleshoots scripts and data processes; and documents processes for long-term maintenance.

Designs and deploys secure, scalable solutions for military and operational customers. Responsibilities include technical discovery, infrastructure validation, network configuration, deployment readiness, security accreditation support, API and data integrations, technical demonstrations, pilot deployments, and translating field experience into reusable implementation patterns. The role partners with Sales, Platform Engineering, SRE, Cybersecurity, Product, and customers, and requires 30–50% travel.

Build and operate Dragos’s web application, GraphQL and gRPC APIs, and client SDKs. Develop React and TypeScript features, design versioned API contracts, maintain Python, TypeScript, and Go SDKs, and collaborate with Product, Design, and backend engineering. Improve performance, accessibility, observability, security, testing, and code quality while supporting security data at scale.