Top Remote Python Jobs in Miami, FL

Designs, maintains, and modernizes production system integrations and customer-hosted Linux infrastructure. Responsibilities include data interfaces, monitoring, troubleshooting, releases, backups, disaster recovery, security, migrations, CI/CD adoption, documentation, customer coordination, and on-call support. The role works with legacy systems in healthcare environments under HIPAA requirements and uses Claude Code for scripting and code review. It requires strong Linux administration, Bash scripting, Git, build and release management, secure data transfer, and production systems experience.

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Lead and grow a distributed software engineering team building Azure Kubernetes Service infrastructure. Define architecture, drive design reviews, ensure security, reliability, observability, CI/CD, and operations at scale. Guide implementation, incident response, and continuous improvement while coaching engineers and aligning stakeholders across Azure product teams.

Design and operate large-scale, AI-native cloud infrastructure (especially Kubernetes/AKS). Improve service quality, automate incident prevention/remediation, accelerate engineering productivity, and integrate AI tools into development workflows.

Build and maintain developer workflows, CI/CD and deployment automation, containerized development environments, SDK packaging and release pipelines, AI performance dashboards, and productivity tools. Design scalable software and developer tools for novel hardware platforms, collaborate with hardware and ML teams, manage C++ codebases, establish engineering standards, and optimize software delivery and production readiness.

Leads the design, implementation, optimization, and support of highly scalable Azure Storage services. Responsibilities include end-to-end performance testing, benchmarking, automation, profiling, bottleneck and root-cause analysis across compute, storage, and networking layers, KPI definition, scaling recommendations, and operational incident response. The role collaborates across teams, drives project and release plans, supports reliable and secure services, and mentors engineers while participating in on-call responsibilities.

Design and deliver large-scale, resilient AI and Kubernetes infrastructure for hybrid environments. Implement, optimize, and maintain cloud-native, container orchestration solutions; integrate AI capabilities; participate in on-call rotations; mentor engineers and drive reliability, observability, and performance at scale.

Design, build, and operate infrastructure for Azure Red Hat OpenShift's Hosted Control Plane. Manage and automate hundreds of AKS clusters, automate regional buildouts and CI/CD, monitor and release microservices, improve product integration with AKS, and collaborate with Microsoft and Red Hat to ensure scalable, secure, and resilient cloud-native infrastructure.

Design, implement, debug, and ship features for Azure Storage front end at cloud scale. Drive design, dependency identification, automation, reliability, observability, and on-call incident response while collaborating with stakeholders and mentoring engineers.

Lead investigation and mitigation of complex distributed storage issues for Azure Managed Disks. Design algorithms for load distribution, monitor system behavior, debug performance and availability problems, collaborate across teams, mentor engineers, act as on-call DRI, and improve observability and reliability at hyperscale.

Develops and maintains highly scalable Azure Storage backend systems. Responsibilities include implementing software features, creating design documents, automating repositories, pipelines, testing, deployments, and operational workflows. The role investigates networking and deployment issues, contributes to estimates and work breakdowns, participates in on-call support, and improves system availability, reliability, observability, efficiency, and performance at scale.

Design and deliver large-scale, cloud-native and AI-enabled Kubernetes/AKS solutions. Implement, optimize, and maintain Kubernetes components and container orchestration across Azure, on-prem, and edge. Integrate AI capabilities, participate in on-call rotations, mentor engineers, and collaborate cross-functionally to improve reliability, observability, performance, and operational consistency at scale.

Own and administer the Redwood RunMyJobs platform, including scheduling, workflow orchestration, job dependencies, monitoring, troubleshooting, integrations, configuration, patching, and security. Develop automated batch workflows and support file transfers, APIs, CI/CD, cloud environments, and mainframe systems. Partner with architects, engineers, developers, and IT stakeholders to translate requirements into reliable automation solutions and improve operational processes.

Lead customer-facing, production-grade data and AI solutions on Databricks: design architectures, implement data pipelines and ML integrations, embed with stakeholders, deliver projects, and produce reusable accelerators and best practices.

Define technical visions and architecture for products, platforms, and enterprise systems. Evaluate emerging technologies, lead proofs of concept, and design scalable cloud-native, distributed, and hybrid solutions. Establish engineering standards, assess technical risks, conduct architecture reviews, and guide modernization initiatives. Collaborate with customers and stakeholders, support engineering teams through complex decisions, mentor technical leaders, and contribute to product roadmaps, DevOps practices, and technology strategy.

Develop and enhance core banking applications through requirements analysis, coding, testing, debugging, documentation, deployment, and production support. Partner with business and technical stakeholders to deliver scalable solutions, improve processes, automate workflows, and enhance user experience. Participate in code reviews, technology roadmap discussions, continuous improvement initiatives, and an on-call rotation for troubleshooting critical production systems.

Develop and maintain automated front-end, backend, and API testing frameworks using Python and tools such as Cypress and Playwright. Define manual and automated testing strategies, perform functional, performance, non-functional, and security testing, and integrate quality assurance into CI/CD pipelines. Collaborate with development teams, technical leaders, and clients to deliver scalable, reliable enterprise software.

Manage the full deployment lifecycle for retail locations, coordinating installation, network setup, configurations, and troubleshooting, while building automation and ensuring quality.

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.

Leads operational support, incident management, troubleshooting, and reliability improvements for Snowflake and cloud-based data and AI platforms. Monitors ETL/ELT pipelines, performs root-cause analysis, develops automation, maintains runbooks, and advises clients on performance and operational strategy. Collaborates with engineering, analytics, architecture, and client teams while mentoring peers and supporting distributed 24/7 production environments.

Build and operate distributed, event-driven backend services for Stacklet’s cloud governance platform. Responsibilities include developing GraphQL APIs, policy execution pipelines, cloud asset and cost data stores, and scalable multi-cloud systems. The role requires designing for reliability, observability, retries, idempotency, and eventual consistency; managing PostgreSQL schemas and migrations; and using AWS serverless services, infrastructure as code, CI/CD, and automated testing. The engineer will also lead backend initiatives, mentor teammates, and contribute to architectural decisions.

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.