Top Remote Python Jobs in Miami, FL

Leads data engineering teams while designing and optimizing scalable batch and real-time data pipelines on cloud platforms. Responsibilities include developing PySpark and Spark workflows, orchestrating Airflow DAGs, managing cloud infrastructure, implementing CI/CD, improving data quality and performance, and mentoring engineers. The role collaborates with clients, product, architecture, and program management teams, while applying generative AI and DevOps practices to improve engineering productivity and operational efficiency.

Operates and designs hybrid on-premises and AWS network infrastructure, including VPCs, Transit Gateway, VPN, Direct Connect, routing, firewalls, and security controls. Leads CIDR remediation, maintains network documentation and IPAM records, automates infrastructure with Terraform, Ansible, and Python, and supports FedRAMP-aligned environments. The role coordinates Network and Cloud Ops teams, mentors engineers, manages vendors, handles Tier 1 and Tier 2 escalations, and participates in a 24x7 on-call rotation.

Evaluates AI coding-agent interactions for technical quality, engineering judgment, reasoning, explanations, and user trust. Provides detailed written and recorded feedback, distinguishes response quality levels, and helps define standards for tools such as Codex, Claude Code, and Cursor. This remote contract requires strong TypeScript, JavaScript, or Python experience, familiarity with AI-assisted development workflows, and senior-level engineering judgment.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, response quality, reasoning, explanations, and usefulness. Provide clear written and recorded feedback, distinguish quality levels, and help define standards for excellent AI-assisted development interactions. This contract role requires senior-level software engineering experience, strong Python or TypeScript/JavaScript skills, familiarity with modern AI development workflows, and excellent English communication.

Own the architecture and evolution of Backblaze’s observability platform across multiple data centers. Lead metrics, logging, tracing, dashboards, infrastructure automation, Kubernetes deployments, Ceph monitoring, and network observability. Establish technical standards, capacity strategies, documentation, and operational practices while mentoring engineers and partnering across SRE, storage, network, security, and application teams. Evaluate AIOps and agentic AI solutions to improve incident detection, correlation, and response.

Evaluate AI coding-agent interactions for correctness, usefulness, engineering judgment, explanation quality, and user trust. Provide clear, opinionated written feedback, distinguish response-quality levels, and help define standards for tools such as OpenAI Codex, Claude Code, and Cursor. The role requires senior-level software engineering experience, strong TypeScript/JavaScript or Python skills, hands-on AI-assisted development experience, excellent English communication, and the ability to assess code without executing or reviewing every line.

Lead architecture, product definition, design, fabrication, testing, and validation of silicon photonic integrated circuits for coherent optical transport systems. Develop link budgets, optimize system performance, and establish design-for-test and design-for-manufacturing strategies. Collaborate across photonics, RFIC/EIC, DSP, packaging, foundry, testing, and product teams to deliver scalable, manufacturable optical engines and integrated transceiver solutions.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

Administers and supports Omnissa Workspace ONE, Microsoft Intune, and macOS endpoints while developing ServiceNow and Power BI dashboards, KPIs, and executive reports. Automates reporting and operational workflows using Power Automate, PowerShell, Python, and APIs. Monitors endpoint compliance, system health, and security posture; partners with engineering, security, and operations teams; and documents incidents, resolutions, and change-management activities.

Build and maintain scalable full-stack systems, backend services, distributed systems, and APIs powering LaunchDarkly’s AgentControl product. Develop primarily with Go, Python, and TypeScript while working with AWS, CockroachDB, Datadog, DeepEval, and FastAPI. Responsibilities include architecture, performance optimization, reliability, production ownership, on-call support, design collaboration, mentoring, and developing AI and GenAI workflows.

Build and operate full-stack certificate management, security, monitoring, and vulnerability products. Develop TypeScript APIs and React frontends, design MySQL schemas, manage AWS workers and Kubernetes infrastructure, maintain legacy .NET and Python services, integrate partner APIs, improve CI/CD and observability, participate in on-call support, and develop AI-assisted features. The role includes code reviews, testing, incident resolution, technical documentation, and mentoring engineers.

Develop and maintain a large-scale production web application across UI and API tiers. Responsibilities include implementing frontend enhancements, fixing bugs, improving accessibility and performance, developing Python-based APIs, supporting third-party integrations and batch processing, enhancing search and administrative features, migrating legacy data, and ensuring application scalability, security, and reliability across multiple releases.

Design, deploy, secure, and maintain scalable AWS infrastructure using Terraform and GitLab CI/CD. Provide application and cloud support, monitor systems, troubleshoot incidents, manage IAM, perform maintenance and backups, improve observability and reliability, and guide cloud architecture and deployment decisions. Collaborate with engineering, security, data, and infrastructure teams while supporting audits, documentation, disaster recovery, and on-call operations.

Owns production infrastructure across Kubernetes, CI/CD, Linux systems, virtual machines, and AI accelerator environments. Responsibilities include incident response, troubleshooting, automation, monitoring, alerting, patching, upgrades, certificate renewals, capacity checks, runbook development, and on-call support. The engineer collaborates across IT and product software teams and contributes to infrastructure design and build work.

Build and maintain first-party integrations connecting NodeZero with EDR, SIEM, SOAR, and ITSM platforms. Design data mappings, consume third-party APIs, manage authentication and failures, maintain connectors as APIs evolve, write customer-facing documentation, troubleshoot integration issues, and collaborate on shared integration infrastructure. The role emphasizes reliable, observable, cloud-native connectors and customer-friendly configuration and error handling.

The Principal DevOps Engineer will lead technical direction for DevOps practices, design CI/CD pipelines, manage cloud-native architectures, and mentor teams to optimize delivery processes.

Build and deploy data-driven solutions for government customers, including data pipelines, backend services, analytical tools, entity resolution, risk scoring, and AI-assisted features. Lead engagements from discovery through deployment, integrate external data sources, support sensitive and air-gapped environments, validate findings, and translate customer needs into practical technical solutions while collaborating with Product and R&D.

Define and lead quality strategy for company reference data systems. Build automated testing across data pipelines, APIs, events, and end-to-end workflows; establish golden datasets, quality metrics, release gates, and regression coverage. Validate matching accuracy, data lifecycle risks, and production signals. Partner with developers and leaders, apply AI to testing, and coach engineers to improve quality across teams.

Build and operate Linux and Kubernetes infrastructure for Azure Front Door’s globally distributed edge fleet. Design, implement, validate, and deploy platform capabilities; optimize performance, reliability, scalability, security, and operations; investigate production issues; develop automation and engineering tools; and provide technical guidance through reviews and knowledge sharing.

Design and scale Cohere’s Model Vault backend and inference platform. Lead architecture for authentication, deployments, billing, metering, customer lifecycle, and cloud control-plane services. Build reliable distributed systems with strong guarantees for security, privacy, consistency, isolation, observability, and failure recovery. Drive technically complex initiatives from threat modeling and architecture through implementation, production rollout, operations, and iteration at enterprise scale.

Build and maintain Python automations and multi-system integrations for 401(k) administration. Responsibilities include developing API and webhook integrations, managing production jobs, troubleshooting errors, refactoring legacy code, deploying projects, improving logging and code quality, documenting processes, and collaborating with business users, vendors, and IT. The role requires ownership of automation projects from discovery through production and focuses on resilient, scalable workflow improvements.

Owns end-to-end technical architecture across Rails, Python machine-learning services, agent infrastructure, and data platforms. Leads scalability, reliability, cost optimization, model infrastructure, architectural reviews, technical roadmap decisions, incident response, code reviews, and engineering mentorship. The role remains hands-on, requiring production coding and expertise in computer vision, LLM systems, cloud infrastructure, databases, background jobs, Kubernetes, and DevOps practices.

Designs, builds, and operates mission-critical satellite, service provider, corporate, and hybrid cloud networks. Responsibilities include routing and switching, network security and segmentation, AWS connectivity, automation with Python, Ansible, and Terraform, monitoring and observability, incident response, change management, documentation, and collaboration with software, FPGA, and mission operations teams. The role also participates in on-call support and advances network reliability, scalability, and programmability.

Leads customer-facing solution architecture and engineering enablement for secure, cloud-native government delivery projects. Responsibilities include advising customers, mentoring engineers, managing proof-of-concept initiatives, designing systems, building CI/CD pipelines, deploying and troubleshooting Kubernetes-based packages, and improving team processes. The role also supports demonstrations, technical content, market research, and growth initiatives while collaborating across technical and business teams.

Build, maintain, and scale e-commerce backend services using Python and Django. Develop REST APIs and features for catalogs, inventory, carts, checkout, orders, payments, and accounts. Integrate third-party services, optimize databases and performance, implement security controls, write tested code, resolve production issues, and collaborate on architecture, planning, reviews, deployment, and CI/CD.