Top Python Jobs in Miami, FL

Operate and maintain AWS-hosted MERN applications and large-scale data workflows. Manage serverless and Spark-based pipelines, perform incident response and on-call duties, engineer automation to eliminate operational toil, ensure HIPAA/SOC2/HITRUST compliance, build observability and lead blameless post-mortems.

Lead the development of healthcare applications and data systems, focusing on audience intelligence and compliance. Design scalable data pipelines, APIs, and reporting systems while ensuring high data quality and security in regulated environments.

As a Billing & Analytics Software Engineer, you'll design and maintain the billing pipeline, integrate billing systems, and develop customer-facing analytics dashboards to support revenue recognition and operational observability.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

The Data Center Engineer will manage physical servers and network hardware, ensuring their installation, maintenance, and troubleshooting, along with overseeing documentation and vendor coordination.

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.

Technical leader for Salesforce release lifecycle: design and evolve enterprise CI/CD, automate deployments, manage cross-system releases (Salesforce, NetSuite, AWS), resolve deployment and production issues, and integrate AI-driven tooling to improve velocity, reliability, and developer self-service.

Lead full‑stack design and delivery of customer-facing web experiences (Browse, Navigate, Preview). Own architecture, APIs, data models, rollouts, observability, on‑call readiness, and cross-team alignment, using approved AI-assisted workflows while ensuring technical quality and reliability.

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.

Build and ship full-stack features for customer-facing Console and Playground, plus internal tools. Design and maintain APIs and backend services, implement accessible performant frontends, translate product requirements into incremental work, and improve code quality through reviews and design discussions.

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.

The Senior Site Reliability Engineer will develop and support distributed storage services, ensuring reliability and operational safety, with a focus on automation and efficiency.