Top Remote Python Jobs in Miami, FL

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.

The Senior Infrastructure Engineer will design, build, and operate crucial cloud infrastructure and developer tools, focusing on observability, reliability, and performance in a high-velocity software environment.

As a Senior FPGA Verification Engineer, you will architect and develop test benches, verify code functionality, and prepare design review materials.

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

The role involves designing and expanding backend systems, mentoring engineers, and executing technical strategies to modernize architecture and improve system performance.

As a backend engineer, you will enhance data collection systems to ensure reliability and scalability, working closely with engineering and mission teams.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

Design, build, and maintain scalable backend services and APIs for commerce workflows using Python/Django. Improve reliability, performance, and observability, operate AWS deployments, work with PostgreSQL and event-driven architectures (SNS/SQS), modernize legacy systems, and support CI/CD, testing, and production troubleshooting.

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

Lead design and evolution of SentiLink's data platform for fraud detection. Architect scalable batch and streaming pipelines, improve reliability, performance, and observability, set engineering standards, mentor engineers, drive cross-team technical initiatives, participate in production support/on-call, and evaluate build-vs-buy and emerging technologies.

The Cloud Systems Architect will engineer and support various cloud environments, ensure security, design system architecture, and manage cloud migrations.

Lead technical direction and delivery for the Acquisition & Onboarding full‑stack team. Build and maintain mobile (React Native/native) and web experiences, backend services at scale, and operational tooling. Drive architecture, mentor engineers, ensure reliability/monitoring/on‑call readiness, collaborate with product and design, and improve dev processes, testing, and release practices to impact conversion and retention.

Own the technical lifecycle and operational health of a global high-density GPU fleet. Validate hardware, benchmark performance, monitor uptime and SLAs, automate operations using LLMs/agents, perform deep network and system-level troubleshooting, coordinate incident communications, and support infrastructure partners.

Lead and scale Forward Deployed Engineering and Technical Support teams, owning customer technical outcomes from pre-sales through deployment. Define engagement models, SLAs/SLOs, on-call/escalation structures, tooling, and feedback loops into Product and Engineering. Partner cross-functionally to prioritize roadmap, improve self-service, and drive operational discipline.

Lead architecture and delivery of Control Center platform capabilities (MCP tool registries, AI orchestration, access automation). Design agentic AI integrations, HITL workflows, and evaluation/guardrail frameworks. Own backend services, SLOs, observability, incident response, and operational readiness for Tier-1 systems. Drive cross-team technical direction, author TDDs, run design reviews, mentor engineers, and partner with Product and Security to deliver secure, scalable platform primitives.

The Manager of Software Engineering will lead the Developer Environments team, enhancing developer productivity through effective environment provisioning and CI/CD workflows while mentoring engineers and implementing system reliability improvements.

Build and maintain developer platform tooling, automation, CI/CD, and Go-based CLI to improve developer productivity, reliability, and scalability for Huntresssecurity products. Implement AI-enabled workflows, support deployments in Azure and containerized environments, and collaborate with product teams to optimize architecture and operations.

Lead QA Automation Engineer to architect and maintain scalable test automation frameworks for web, API, and database layers; define automation, regression, performance, and release testing strategies; write and run automated API/UI/integration/regression/performance tests; integrate tests into CI/CD; own QA backlog, mentor engineers, troubleshoot complex defects, and collaborate cross-functionally to ensure release readiness and quality standards.

Work as an SRE embedded with product teams to improve reliability by fixing application code (primarily TypeScript), building observability (Prometheus, Loki, Grafana, Alloy), defining SLIs/SLOs, leading incident response and postmortems, automating toil, and supporting deployments across on‑prem DoD and AWS environments.

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.

Lead architecture, design, and delivery of PET product features; write production full‑stack code; champion testing, observability, CI/CD and operational readiness; mentor engineers and collaborate with product to shape technical roadmap.

Lead design and delivery of scalable, secure full‑stack features and services. Build maintainable front-end and backend code, implement integrations and data models, enable cloud-native CI/CD workflows, use containers and IaC, and act as a technical leader influencing architecture and delivery across teams while leveraging AI-assisted tools.

Design and deliver end-to-end full stack healthcare applications across UI, API, and data layers. Build secure, testable, cloud-native services, implement integrations and IaC, support CI/CD and monitoring, leverage AI-assisted tools, and mentor engineers while partnering with cross-functional teams.