Top Remote Python Jobs in Miami, FL

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.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Customer-facing engineer who builds demos, prototypes, and workshops to drive pre-sales and adoption of Motorq's connected-vehicle and AI capabilities; partners with sales, customer success, and product teams and travels regularly to customer sites.

Lead and mentor a product engineering team while remaining hands-on with coding, code reviews, architecture, and technical direction. Partner with product and cross-functional teams to deliver the roadmap, improve engineering quality, and build a culture of ownership. Requires strong software engineering experience, people leadership, React, TypeScript, Python, startup experience, customer-facing product experience, and regular coding. The role is remote in the US or Canada with occasional customer visits.

Manage and mentor a backend engineering team while remaining hands-on with technical design and problem solving. Set backend architecture, service strategy, roadmaps, and engineering standards for scalable, secure systems. Partner with product, data, infrastructure, and frontend teams to deliver reliable customer-facing software, deploy models, improve platform tooling, and support incident response. Recruit engineers, guide team development, and foster ownership and continuous improvement.

Lead customer implementations from discovery through deployment and support. Design and develop production software integrations, make architecture decisions, facilitate executive working sessions, and resolve implementation issues independently. Build reusable components, collaborate with product teams, and deliver customer-facing solutions involving data pipelines and machine learning workflows. The role requires strong Python, TypeScript, cloud, communication, and healthcare or life sciences experience, with 10–15% client travel.

Drive quality assurance for web features from technical handoff through production release. Responsibilities include test planning, test case creation, functional and exploratory testing, regression, UI/UX, cross-browser, responsive, API, and end-to-end testing. Support releases through build validation and monitoring, document and review tests, collaborate with product and engineering teams, improve QA metrics, and optionally contribute to test automation.

Designs, develops, tests, deploys, and maintains mission-critical software with an emphasis on geospatial applications. Responsibilities include GIS and spatial-data integration, architecture, coding, code reviews, performance optimization, documentation, automated testing, Agile collaboration, and application support. The role requires strong object-oriented programming, databases, REST APIs, ArcGIS technologies, and software development lifecycle experience while supporting government customers on-site at Stennis Space Center.

Develop and maintain GIS-focused software applications throughout the full software development lifecycle. Responsibilities include coding, testing, debugging, code reviews, documentation, Agile participation, security implementation, performance optimization, and geospatial database and service development. The role requires collaboration with cross-functional teams and expertise in ESRI technologies, GIS applications, programming, SQL, and software engineering best practices. Work is performed on-site at Stennis Space Center, Mississippi, supporting a government customer.

Lead the architecture, reliability, and delivery practices for StoneAge’s cloud platforms, distributed systems, full-stack applications, data pipelines, and connected equipment ecosystem. Manage and develop software engineers, establish engineering standards, guide cloud and data architecture, improve CI/CD and observability, lead production incident resolution, and ensure scalable, secure, predictable software delivery across field, edge, and cloud environments.

Leads software engineering teams and initiatives, overseeing resource planning, development processes, software quality, delivery accountability, hiring, performance management, and talent development. Establishes engineering standards, monitors KPIs, manages risks and dependencies, and ensures predictable delivery across Agile software programs. The role requires full-stack web development leadership, AWS and modern application technology expertise, healthcare workflow and HL7 experience, and strong cross-functional collaboration.

Designs and executes manual and automated testing across applications, APIs, databases, data platforms, and integrated systems. Builds QA automation frameworks, validates data quality, manages test environments, supports CI/CD test integration, tracks defects, and performs root cause analysis. Collaborates with Agile engineering teams on sprint planning, releases, and process improvements while testing healthcare technology platforms and regulated workflows.