Top Senior Python Jobs in Miami, FL

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and user trust. Provide rigorous, opinionated feedback distinguishing response quality levels and help define best practices for tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires strong software engineering expertise, familiarity with AI-assisted development workflows, and the ability to assess code and explanations without deeply reviewing or executing every line.

Lead full-stack development for secure, scalable mission planning and command-and-control software supporting space communications programs. Build frontend interfaces and backend services, design APIs, translate mockups into applications, conduct code reviews, improve quality and security, and mentor junior engineers. Work with modern web frameworks, containerized microservices, and highly secure government environments while owning technical problems end to end.

Develop and maintain end-to-end applications using Python, Node.js, C#, and React. Build scalable backend services, frontend features, APIs, cloud-native AWS solutions, automated tests, infrastructure as code, and CI/CD pipelines. Collaborate with cross-functional engineering teams in an agile, remote environment while contributing to architecture and reliable product delivery for US clients.

Design, build, and operate distributed, event-driven microservices and cloud infrastructure. Lead technical delivery across the full stack with backend emphasis, integrate data pipelines and AI models, ensure high code quality and testing, produce documentation and runbooks, mentor peers, and own services through their lifecycle.

Design, build, and operate full‑stack, cloud-based microservices and frontend interfaces. Lead technical projects, integrate AI/data pipelines, ensure quality via automated tests and CI/CD, author documentation and runbooks, mentor peers, and own services across their lifecycle.

Leads customer-facing cloud and AI data platform architecture on Microsoft Azure. Designs secure, scalable, resilient, and performance-optimized solutions; leads architecture sessions, proofs of concept, deployments, and modernization initiatives. Advises technical and business leaders, supports partners and sales teams, manages delivery risks, drives adoption and consumption, mentors colleagues, contributes to reusable frameworks and intellectual property, and influences product roadmaps through customer insights.

Develop distributed, production-grade microservice systems and scalable data-processing infrastructure on Linux. Lead service mesh, contract-first API, gRPC, and Protocol Buffers initiatives; design fault-tolerant architectures and observability systems; operate containerized distributed platforms; and mentor junior and mid-level engineers. The role also emphasizes AI-assisted development, technical communication, and documentation, with preferred experience in industrial automation, monorepos, real-time processing, edge computing, and infrastructure as code.

Administer AWS, Azure, Microsoft 365, and Entra ID environments end to end. Manage cloud infrastructure, networking, virtual machines, identity, endpoints, automation, Terraform-based infrastructure, monitoring, security hardening, vulnerability remediation, compliance evidence, and AI platform administration. Build resilient and governed environments, automate operational workflows, maintain documentation, support incident response, and partner with engineering, security, and operations. The role requires US citizenship and work within the United States.

Owns end-to-end administration of AWS, Azure, Microsoft 365, and Entra ID environments. Responsibilities include cloud infrastructure, networking, identity, endpoint management, Terraform-based infrastructure as code, automation, monitoring, security hardening, vulnerability remediation, compliance, AI platform administration, and audit-ready documentation. The role partners with engineering, security, and operations to deliver stable, secure, scalable, and well-documented services in a defense-sector compliance environment.

Architects and owns highly available infrastructure and Kubernetes-based platforms supporting autonomous systems. Builds Golang backend services, platform tooling, observability systems, dashboards, alerts, and log aggregation. Partners with product teams to launch services, performs performance analysis, manages cloud upgrades, and participates in incident response and postmortems. Collaborates on cloud security risk assessments, intrusion detection, threat-feed systems, risk mitigation, and SaaS payment processes. Provides architectural leadership and mentorship across engineering teams.

Lead architecture and hands-on implementation of a full-stack platform and production AI systems (LLM integration, RAG, agentic workflows). Ship user-facing features across frontend, backend, data pipelines, infrastructure, testing, and monitoring. Set technical direction, tooling, and engineering practices while partnering with product and program teams.

Design, develop, test, and maintain scalable Python applications, backend services, REST APIs, microservices, and integrations. Work with databases, asynchronous processing, cloud platforms, containers, CI/CD, security, observability, and distributed systems. Troubleshoot production issues, optimize performance, create automated tests, participate in code reviews and architecture decisions, and collaborate with product, DevOps, QA, and engineering teams.

Build and maintain scalable backend systems and data pipelines for healthcare workflows. Collaborate cross-functionally to automate provider and patient workflows, prototype features, ship production-ready code, and ensure systems are maintainable and scalable.

Own and scale Adobe Experience Platform and Real-Time CDP implementations. Design data collection architecture using Web SDK, Edge Network, and datastreams; govern XDM schemas, identity, datasets, and data quality. Develop tagging, CJA connections and views, audience activation, privacy frameworks, and event-driven data layers. Troubleshoot ingestion and identity issues, integrate Adobe ecosystem tools and downstream systems, and collaborate with stakeholders on scalable technical solutions, governance, documentation, and enablement.

Lead design, customization, and administration of CRM and real-estate development systems; build integrations, APIs, dashboards, and reporting; ensure data integrity and security; support pre-construction sales, budgeting, scheduling, and construction tracking; oversee upgrades, migrations, documentation, and training; mentor junior staff and manage third-party consultants.

Design and build cloud cost-management capabilities, including forecasting, anomaly alerts, cost allocation, data pipelines, transformation models, visualizations, and reusable UI components. Own features end to end from planning through release while improving application reliability and performance. Collaborate closely with engineers and founding team members, contribute to technical design and roadmap decisions, and work pragmatically in a fast-moving distributed startup environment.

Design and build the pre-CRM nurturing pipeline and automated nurture sequences across SMS, email, and voice. Own AWS Connect integration, unclaimed lead management, and lead readiness scoring. Build scalable, well-tested microservices, collaborate with data/ML teams, and operate CI/CD, monitoring, and resiliency for high-leverage lead conversion systems.

Design, build, and scale microservices-based platform features for Compass. Lead architecture, mentor engineers, implement fault-tolerant services using cloud, event-driven systems, and automated CI/CD/testing. Collaborate with product and operate within Agile practices to deliver high-impact real estate platform functionality.

Leads end-to-end healthcare integrations between the company’s platform and hospital EHRs, including architecture, interface development, data mapping, validation, testing, go-live, monitoring, and production support. Advises senior health system stakeholders, troubleshoots HL7 and FHIR interoperability issues, improves integration automation, manages incidents, and influences platform strategy. Requires deep HL7v2, interface engine, database extraction, FHIR, SQL, security, and healthcare interoperability expertise, plus strong client communication.

Define architecture and technical direction for Catalyst’s distributed data platform, including messaging, state management, reconciliation, streaming, storage, CI/CD, and Kubernetes operations. Build Go and Python frameworks, improve reliability and SLOs, lead incident response, maintain secure dependency and artifact delivery, and develop infrastructure automation. Collaborate across teams and with customers, review designs and code, establish engineering standards, and travel internationally up to 25% to support mission-critical deployments.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.

Design, develop, and maintain scalable web and backend applications, public REST APIs, automated testing frameworks, and cloud-native services. Improve scalability, stability, monitoring, auto-scaling, CI/CD, security, and reliability. Conduct code reviews, troubleshoot production issues, document root causes and operational procedures, and collaborate with distributed engineering teams to deliver fleet-management platforms.

Design and implement automated test frameworks and data validation utilities for enterprise data platforms. Validate data transformations, pipelines, lineage, and performance across Databricks, Snowflake, Spark, Hadoop and cloud environments. Integrate tests into CI/CD, perform white-box and performance testing, investigate production defects, and collaborate with Data Engineering, Analytics, and business stakeholders to ensure P&C insurance data quality and regulatory readiness.

Lead and contribute hands-on to engineering across co-development game projects, providing technical direction, architecture reviews, debugging/profiling, cross-discipline collaboration, planning, and mentoring while ensuring code quality and performance.

Design, build, and optimize scalable cloud and web software with focus on infrastructure, performance, and hardware integration for IoT devices. Collaborate with hardware teams to ensure connectivity and high availability, implement new features, and improve system efficiency.