Top Python Jobs in Miami, FL

Respond to production incidents, monitor systems with Datadog, troubleshoot Kubernetes/Docker environments, support CI/CD and automation, participate in on-call rotations, and collaborate with engineering teams to maintain availability and compliance in regulated healthcare/fintech systems.

Lead and grow a US-based SRE team while acting as a hands-on incident commander. Drive operational excellence through incident management, reliability engineering, automation, observability (Datadog), runbook maturity, and cross-functional collaboration. Ensure compliance with healthcare/fintech standards and support a global follow-the-sun model.

Design, deploy, automate, and support Cloudera Data Platform clusters and Hadoop ecosystem services. Build Ansible automation and CI/CD for provisioning, configuration, patching, monitoring, security integrations (Kerberos/LDAP/TLS), capacity planning, disaster recovery, and on-call operations to support data ingestion, processing, and analytics workloads.

Design, implement, test, and maintain low-level embedded firmware for ARM Cortex-M systems. Debug hardware/software issues using lab equipment, develop Python host tools, support hardware bring-up, CI/CD and automated testing, resolve manufacturing and field issues, and participate in architecture, code reviews, and documentation.

Join a remote Strategic Projects engineering team to turn AI-native prototypes into production-grade services. You will harden demos (LLM gateways, proxies, sandboxes), implement observability, error handling, and security practices, work with reference customers on integrations, and ensure agent-generated code meets production review and operational standards.

Build and operate an AWS-native data lake and AI gateway. Implement and maintain lakehouse architecture (Iceberg) using Glue, Athena, and S3; manage infrastructure as code (Terraform); run reliable data pipelines; operate LLM gateway/Bedrock; enforce security, IAM, networking, and secrets controls; partner with IT and Security.

Operate and harden Blitzy's self-hosted, Kubernetes-based AI platform inside customer-controlled secure cloud environments. Own deployments, upgrades, capacity planning, observability, incident response, and customer-facing technical coordination while championing security and feeding operational learnings back into the product roadmap.

Build full-stack features for AI voice and chat products using TypeScript, Node.js, React, and Python. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with ML and product teams to scale enterprise AI conversations.

Lead the migration from legacy Azure services to a Kubernetes-based, containerized microservices platform. Design, build, and scale infrastructure, implement observability (monitoring/alerting/logging), drive incident response and SLOs, automate with IaC and CI/CD, optimize cost and networking, mentor teams, and document systems to ensure reliable, scalable healthcare platform operations.

Develop high-fidelity RGB and LWIR camera models and synthetic-data pipelines in Unreal Engine, stream sensor outputs to ROS 2, implement noise/artifacts and target injection, manage 3D asset pipelines, and optimize headless/real-time simulation for perception and Target State Estimation testing and CI/CD integration.

Design, develop, and deploy Python- and Java-based scalable REST APIs for a multi-tenant web platform. Collaborate with product, data science, and clinical partners, and ensure software quality, security, and engineering best practices.

Lead AWS-based SRE activities for products migrated from on-prem: ensure reliability, observability, automation, CI/CD (GitOps), Kubernetes/EKS operations, Terraform IAC, database/RDS administration, networking and security, and collaborate with development and platform teams to optimize SaaS operations.

Design, build, and optimize AWS/Kubernetes infrastructure and CI/CD pipelines; troubleshoot production incidents; lead end-to-end infrastructure projects; establish deployment standards and operational procedures; mentor engineers; monitor observability, security, and access controls to reduce risk and improve developer productivity.

Develop and execute test plans for SiGe ASICs and high-speed mixed-signal devices. Perform RF/mm-wave probing and characterization, troubleshoot electrical/RF/thermal/software issues, compare measurements with simulations, build bench hardware/software for characterization, qualify test stations (Gage R&R, SPC), document test solutions, and coordinate cross-functional test development schedules.

Lead platforms engineering for scalable cloud infrastructure: design and implement Kubernetes-based systems, optimize data pipelines with AI, refactor stateful services to be stateless, improve autoscaling and reliability, own data ingestion/export, build internal developer tools, enforce security and testing standards, mentor engineers, and participate in on-call rotations.

Build and own the GTM tech stack and integrations, create demo environments seeded with realistic data, embed AI agents into sales workflows, stand up revenue data infrastructure (pipeline, forecasting, attribution), and automate customer service flows. Partner closely with Sales, Marketing, Customer Success, and Product Engineering to measure adoption and impact.

Design and lead large-scale AWS migrations (rehost/replatform), architect cloud infrastructure and platforms, automate migrations with IaC and scripting, troubleshoot OS/database issues, and implement hybrid networking and security best practices.

Design, build, and maintain scalable web applications, APIs, and backend services across multiple stacks. Make architectural decisions, remediate technical debt, lead client communication and demos, participate in agile teams and code reviews, uphold testing and debugging practices, and contribute to internal best practices and thought leadership.

First dedicated QA hire responsible for test planning, building and maintaining automated test suites across a TypeScript+Python stack, integrating tests into CI/CD, running regression and performance tests, identifying and verifying bugs, improving observability, and documenting QA processes.

Design and build scalable, secure cloud-native backend systems in AWS. Implement event-driven architectures, async concurrent processing, data pipelines, serverless services, and REST APIs (Flask/FastAPI). Ensure performance, caching, testing, debugging, and cloud security (IAM, encryption, authentication).

Lead design and hands-on delivery of cloud-first solutions on Microsoft Azure and related platforms. Translate stakeholder requirements into architecture patterns, document designs, mentor teams, build POCs, migrate legacy apps, and apply AI responsibly to improve delivery and quality.

Lead design, analysis, manufacturing, and testing of rocket propulsion hardware and PPMS from concept to flight. Produce CAD and P&IDs, perform fluid network and systems modeling, develop and execute test plans, collaborate with vehicle, test, vendors, and procurement to meet engine requirements.

Lead design, architecture, and delivery of enterprise web, mobile, backend and cloud solutions. Provide technical and people leadership across Agile teams, enforce engineering best practices (CI/CD, DevSecOps, observability), mentor engineers, manage delivery risks, and drive platform modernization and production readiness.

Design, build, and maintain automated validation suites across web, mainframe, API, desktop, file, and email workflows. Develop and enhance automation frameworks using Java/Python/JavaScript and tooling (Selenium, Playwright, Cypress, REST Assured). Integrate LLM/GenAI capabilities for test generation, failure analysis, and data creation. Validate banking and payments functionality; collaborate in Agile/Scrum teams and apply test architecture best practices.

Lead development and optimization of web scraping pipelines to extract, clean, and store large-scale web data. Handle dynamic content, pagination, distributed scraping, database design with NoSQL, deploy jobs to cloud, and monitor systems for reliability and data quality. Support ML-based data cleaning and categorization.