Top Remote Python Jobs in Miami, FL

The role involves building and integrating full-stack features for an AI chat application, focusing on reliable workflows and real-time AI interactions.

Support and enhance Enterprise GIS within the ESRI ecosystem: design, develop, test, document, and release low/no-code applications; gather requirements; manage multiple application projects; integrate systems and troubleshoot production issues; coordinate data conversions and compatibility; evaluate software packages; and create and maintain metadata.

As a Staff Software Engineer, you’ll lead the design and reliability of Duetto's data lakehouse, evolving data systems using Python and AWS, ensuring data quality, and implementing AI-driven solutions.

Build and operate CrewAI's infrastructure across AWS, Azure, and GCP. Own containerized deployments, CI/CD pipelines, observability, secrets, networking, databases, and on-call reliability. Harden security, automate deployments and installs, partner with runtime and product engineers, and reduce operational toil through tooling and automation.

The Senior Backend Engineer will develop, test, and maintain scalable integrations, support cross-functional teams, and enhance developer experiences.

Design, build, and maintain core platform services, Ruby web applications, and SDLC agentic workflows. Improve observability, tooling, datasets, and reliability; drive architectural direction and cross-team enablement.

The Staff Software Engineer will design and develop scalable cloud services, focusing on AI infrastructure, with hands-on system architecture, mentoring, and engineering culture shaping responsibilities.

As a Solutions Engineer, you will engage with customers to provide technical expertise, lead presentations, build POCs, and tackle customer challenges. You will collaborate with sales, product management, and engineering teams to enhance customer experience and drive adoption of Redpanda's solutions.

Develop AI/ML-powered features in ClickHouse Cloud, focusing on frontend and API architecture, UI/UX, and integrations with AI systems.

Own and evolve ClickHouse's Python connector and SDKs; build and maintain integrations with orchestration and transformation tools; design AI/LLM integration patterns (RAG, embeddings, feature stores); engage with open-source community; collaborate with Product and Cloud teams to prioritize and ship production-grade data integrations.

Lead a 6–8 engineer team building an SSH client, web app, and backend services for an agentic AI platform. Own architecture, hiring, process, roadmap partnership with product, incident response, and mentorship while remaining ~20% hands-on.

The Senior Software Engineer will build scalable backend systems, design APIs, and integrate ML models, enhancing Yahoo's search functionality.

Design and develop scalable software solutions, lead engineering workstreams, ensure code quality, mentor junior developers, and collaborate on technical strategies to enhance digital experiences for BECU members.

Define and enforce governance and standards for multi-cloud platforms (AWS, Azure, GCP, OCI, Snowflake). Build platform features, implement infrastructure as code, support application teams, ensure reliability/security/cost-efficiency, automate deployments, and manage servers, storage, networking, backup and disaster recovery.

As a Senior Platform Engineer, you will manage Azure Government deployments, enhance infrastructure as code, implement CI/CD, and mentor engineers.

Support ExaCC build/deployment using IaC patterns, plan and execute Oracle database and app migrations to ExaCC/OCI, develop runbooks/cutover/rollback and operational readiness, tune and validate performance/backup/recovery, and coordinate landing-zone and network dependencies with OCI architects and CMS teams while meeting CMS security requirements.

Lead build, integration, and optimization of full-chip and system-level ASIC emulation platforms. Enable HW/SW co‑development, debug emulation failures, automate compile/regression flows, support silicon bring-up, and collaborate with RTL, DV, firmware, physical design, and validation teams to accelerate verification and system validation.

Lead reliability and performance efforts for distributed metadata systems: tune and optimize systems, develop monitoring and automation, manage rollouts, troubleshoot incidents, run simulations and analytics, and support database/configuration management to improve global network stability and capacity.

Build and scale developer platform and AI-powered tooling to improve developer velocity, CI/CD observability, and Kubernetes reliability. Implement agentic coding/review workflows using LLMs, create self-service templates and automation, contribute to incident playbooks, and drive adoption via docs and enablement.

Lead reliability, scalability, and observability for high-density AI hardware infrastructure. Build Python automation and IaC, design telemetry and Prometheus/Grafana dashboards, implement AI-assisted tooling and anomaly detection, manage 24x7 on-call incident response, and coordinate vendor field operations to ensure uptime.

Design and maintain Terraform and OCI Resource Manager IaC for standardized tenant onboarding. Automate landing zones, identity, network baselines, governance, and security guardrails. Build CI/CD pipelines, reusable templates (DNS, VCN, Cloud Guard, logging, IAM policies, tagging), enforce policy-as-code, and accelerate tenant provisioning.

Architect, deploy, and manage scalable cloud infrastructure across major providers; build automation, CI/CD pipelines and containerized deployments (Kubernetes/GCP); implement monitoring and security best practices; support data services and data engineering needs; document configurations and mentor team members.

Provide Splunk SME support within an RPA Center of Excellence: design and configure Splunk solutions, create dashboards and searches to isolate actionable events, analyze logs and indexes, customize monitoring templates, and train product owners and teams on Splunk usage to support operations.

Work on frontend, backend, full-stack, or data/platform engineering to design, build, and operate high-scale systems and AI-enabled user experiences. Responsibilities include building distributed backends, data pipelines, performant UIs, integrating AI features, owning projects end-to-end, and collaborating cross-functionally to deliver production-quality software.

Maintain and enhance Azure cloud infrastructure to ensure 99.9% availability, optimize costs through automation, ensure scalability and performance, and maintain compliance with security standards (e.g., ISO 27001). Collaborate with dev and ops teams and support cloud-service CSAT goals.