Top Python Jobs in Miami, FL

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Hands-on Principal engineer who designs, builds, and operates production-grade Azure solutions with strategic customers; develops an observability-focused Azure service, supports live production via on-call and incident response, creates reusable tooling and reference implementations, and drives platform improvements while mentoring field engineering teams.

Build and maintain AI-powered GTM workflows, Salesforce Agentforce solutions, integrations, and automations across the GTM stack. Partner with Sales, Marketing, CS, and Revenue Operations to design, implement, test, and monitor scalable solutions, data models, scoring, and analytics to improve adoption, efficiency, and business outcomes. Troubleshoot, document, and iterate on platform and integration issues.

Design, implement, and operate scalable, fault-tolerant web crawling and extraction pipelines processing massive web data. Write production Java/Python code, build ETL/ELT pipelines (BigQuery/Snowflake), use Kafka, Kubernetes (GKE/EKS), Terraform, and Airflow, and improve observability, reliability, and collaboration with product and data science teams.

Design, build, and maintain a scalable cloud platform using IaC and CI/CD. Lead DevOps/SRE practices, implement monitoring, security and compliance (SOC2/HIPAA/NIST), manage containers, troubleshoot infrastructure, and participate in on-call rotation while driving cross-team delivery.

Develop and maintain automated test frameworks and scripts, execute manual and automated test cases, identify and track defects, perform regression testing, collaborate with developers and cross-functional teams, and support CI/CD and testing processes across platforms (including mobile, API, and database).

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.

Designs, implements, and maintains cloud and on‑prem network infrastructure with IaC (Terraform/CloudFormation/Ansible), supports AWS environments, builds CI/CD pipelines, authors technical documentation, troubleshoots escalations, and collaborates with Cloud Architects and product teams in a remote Agile environment.

Lead multiple QA teams to define and execute quality strategy, test planning, automation, and validation. Mentor staff, manage hiring/onboarding, drive cross-functional collaboration, use CI/CD and AI tools to accelerate testing, and ensure product reliability for a high‑transaction healthcare platform.

Design, build, and maintain end-to-end GTM outbound pipeline and CRM integrations (Clay, Outreach/Salesloft, HubSpot). Integrate product usage signals, automate enrichment/scoring, build LLM-driven personalized email generation, ensure data quality, produce runbooks, and partner with Sales/RevOps to operationalize GTM workflows.

Develop and productize SONiC-based NOS and platform software for Nokia switching products (Broadcom/Marvell) for data center and AI fabrics. Implement and debug networking features, protocols, and management interfaces; collaborate with test, product, and customers to ensure quality and requirements are met.

Design, develop and execute automated and manual tests for router/chassis features (SONiC). Develop Python/Pytest test cases, analyze results, debug with SW/HW/Firmware teams, and drive features to GA readiness.

Design, build, and maintain scalable cloud platform infrastructure; create IaC (Terraform/CloudFormation); develop CI/CD pipelines; implement monitoring, security (IAM, SIEM, firewalls) and compliance; troubleshoot and optimize performance; lead projects, collaborate cross-functionally, participate in on-call rotation, and leverage generative AI tools to improve delivery.

Design, build, and maintain scalable enterprise full-stack applications using Java, Spring Boot, microservices, and modern front-end frameworks. Implement cloud-based solutions on AWS, contribute to CI/CD and DevOps automation, optimize performance and security, and integrate AI-driven capabilities using Python and orchestration tools like LangChain and LangGraph.

Design, build, and maintain scalable Azure data pipelines and platforms using Azure Databricks, Synapse, Data Factory, and Microsoft Fabric. Implement IaC (Bicep/ARM/Terraform), CI/CD with Azure DevOps, monitor platform stability, optimize Spark jobs, and collaborate with architects and stakeholders to meet business requirements.

Design, implement, and maintain automated and manual tests across unit, component, integration, and end-to-end levels. Build scalable test frameworks, automate UI and API tests, run performance/load tests, produce test reports, report regressions, and collaborate with agile teams to influence design and ensure product testability and scalability.

Support design and documentation of cloud and on-premises data solutions; translate mission needs into technical requirements; create architecture diagrams and technical materials; research technologies; participate in discovery and design discussions; collaborate with engineers to align implementations; communicate clearly to technical and nontechnical stakeholders while supporting a federal health data modernization mission.

Design, build, and maintain scalable production data pipelines and APIs in a Databricks/Spark environment. Integrate and transform diverse health, financial, and operational datasets into reusable data products, implement data validation and governance, optimize pipeline performance, and collaborate with engineers, architects, and stakeholders to deliver reliable analytics datasets and platform capabilities.

Build, operate, and scale cloud-native backend services and APIs for a high-volume vehicle marketplace. Embed AI-driven capabilities into features, use AI tools to accelerate development, participate in on-call rotations, improve reliability, and collaborate with Product, Data, Infrastructure, and SRE teams to deliver production-ready systems.

Join Mozilla Release Engineering to build and maintain scalable CI/CD pipelines that run tens of thousands of build/test/release tasks daily. Improve developer experience, optimize deployment pipelines, collaborate with distributed engineers, participate in code reviews, and respond to critical service outages during normal working hours. Work across Windows, macOS, and Linux and leverage cloud resources.

Design and deliver scalable, secure data platforms and architectures (Databricks/cloud) for customers. Split time between billable and pre-sales, lead solution design, mentor teams, ensure data governance and security, validate ETL/data pipelines, produce documentation and presentations, and manage multiple customer accounts to deliver production-ready data solutions.

Develop, test, and maintain platform features and services for a digital health platform. Collaborate with product and design teams, write clean code, participate in reviews, debug issues, assist with API development and integrations, and help improve performance, reliability, and scalability while learning modern tools and cloud technologies.

Lead design and implementation of Doowiis frontend, backend, and data systems. Define architecture, build scalable ingestion and analytics pipelines, optimize storage and query performance, ship AI-driven features (LLM/text-to-SQL, embeddings), improve observability and deployment, and mentor engineers while partnering with product and ML teams.

Lead and manage cloud-native software engineering teams to design, build, deploy, and operate scalable, secure cloud applications. Define cloud strategy, CI/CD, architecture standards, modernization initiatives, and engineering KPIs. Recruit and mentor engineers, collaborate with product, security, DevOps, QA, and stakeholders, and ensure compliance, reliability, and performance across public, private, and hybrid cloud environments.

Lead refactoring and optimization of scalable data pipelines, design next-generation distributed storage and processing systems, build clean interfaces for diverse data consumers, mentor engineers, and establish engineering standards and processes.