Top Senior Python Jobs in Miami, FL

Perform CFD and 1D lumped-parameter fluid analyses for rocket engines, predict component and system performance, build transient and steady models, support testing and anomaly investigations, recommend design improvements, and mentor peers to grow propulsion fluid-analysis capabilities.

Own and advance Yahoo’s enterprise Node.js development environment, including runtimes, packages, container images, internal integrations, and CI/CD workflows. Manage runtime lifecycles, security updates, dependencies, releases, testing, automation, and troubleshooting. Support GitHub Enterprise and GitLab Enterprise while integrating AI programming tools to improve developer productivity. Partner across engineering and security teams, and document platform changes, migrations, and deprecations.

Design, build, and maintain highly available APIs and distributed services supporting millions of customers. Manage and optimize AWS cloud infrastructure using Infrastructure as Code, CI/CD, containers, and automation. Improve system performance, reliability, and security; monitor and troubleshoot production issues; apply AI-enabled tools; and collaborate across engineering teams to deliver resilient, customer-focused solutions.

Build and operate a secure Kubernetes-based AI/ML platform for government test and evaluation teams. Responsibilities include GPU scheduling, workload orchestration, infrastructure-as-code, GitOps, observability, capacity planning, upgrades, security hardening, compliance support, and operational documentation. The role involves restricted and disconnected environments, automated security tooling, collaboration with government and engineering stakeholders, technical leadership, and mentoring.

Develop production software for maritime route optimization, vessel performance and fuel-consumption modeling, voyage analysis, simulation, and route evaluation. Build and improve optimization algorithms, APIs, services, testing, and explainable recommendation systems using Rust and Python. Collaborate with engineers, product experts, and maritime specialists to translate complex physical and mathematical problems into maintainable software supporting U.S. Government and defense customers.

Own and implement platform initiatives to improve scalability, reliability, and developer experience. Automate infrastructure with IaC, operate Kubernetes and CI/CD pipelines, build developer tools, monitor platform resilience, participate in incident response, and influence architecture and processes as you grow.

Lead design and delivery of a reliability platform for production systems. Own quarterly goals, guide engineers through ambiguity, collaborate with PM/design/analytics, monitor and operate services (on-call), set quality and code standards, and mentor teammates. Integrate AI/LLM tooling to improve automation, debugging, and service health.

Lead delivery for the Batch Infrastructure team: design, build, and operate reliable, scalable compute platforms for scheduled and on-demand batch workloads. Collaborate with product/design/analytics, define technical plans, ensure availability (monitoring/on-call), set code and design standards, and mentor engineers to improve delivery and quality.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Lead delivery and technical execution for an AI-driven pipeline integrity platform spanning data architecture, engineering, data science, application engineering, and QA. Remain hands-on through coding, design reviews, prototyping, debugging, and quality oversight. Manage compliance, security, audit readiness, release planning, hiring, team development, and cross-functional collaboration. Ensure platform outputs are traceable, reproducible, secure, and delivered predictably against phased milestones.

Own end-to-end delivery of platform initiatives, designing scalable infrastructure, APIs, gateways, backend services, self-service tooling, and automation. Evaluate and implement AI agents and workflows within developer tooling, improve reliability and engineering productivity, lead technical design reviews, mentor engineers, and influence cross-functional stakeholders. The role requires operating complex production systems across Ruby/Rails, Python, Rust, React/TypeScript, GraphQL, and cloud infrastructure.

Deliver production-ready Temporal implementations with customer and partner engineering teams. Design reliable workflow patterns, deploy and operate Temporal Server in cloud or self-hosted environments, establish scaling and observability standards, and resolve complex technical issues. Create runbooks, templates, documentation, workshops, and training to enable independent customer operations. Provide implementation feedback to product and engineering teams while reducing escalations.

Design and implement PostgreSQL internals and indexing/query features for large-scale document workloads, extend query engine with BSON-aware operators and custom scan nodes, tune index pruning and storage, profile distributed systems for performance, collaborate with open-source DocumentDB/PostgreSQL communities, and participate in design/code reviews.

Build and evolve Nexus interfaces across Temporal SDKs, integrating language runtimes with durable, deterministic workflow execution. Design APIs, implement concurrent distributed-system features, support multiple programming languages, collaborate with open-source communities, debug complex issues, and document technical concepts. The role also contributes foundational runtime capabilities for agentic AI systems and requires occasional coworker travel.

Serve as the frontline technical expert for Temporal’s developer community. Deploy and scale cloud-native infrastructure, troubleshoot distributed systems, optimize performance, improve reliability, and build automation and observability solutions. Work directly with developers and engineering teams on Kubernetes, networking, monitoring, and infrastructure best practices. Translate customer use cases into architecture recommendations and influence platform improvements through strong technical communication.

Design and develop electromagnetic warfare and spectrum operations software, including data models, RF propagation integrations, C2 and sensor APIs, AI-assisted coding workflows, and deployments across cloud, on-premises, and edge environments. Demonstrate software to customers, translate feedback into requirements, document and test solutions, mentor developers, and support agile delivery. The role requires an active US Top Secret/SCI clearance and travel to customer sites.

Build and manage Tempo’s infrastructure stack, improve developer velocity and experience, maintain blockchain, validator, and explorer reliability, and support enterprise validator onboarding. The role involves production bare-metal and cloud environments, Kubernetes, infrastructure as code, observability, Linux, networking, security hardening, troubleshooting, and tooling development using Rust, Go, or Python.

Manage and optimize a multi-account AWS environment supporting production healthcare applications and analytics platforms. Responsibilities include AWS infrastructure administration, CI/CD and infrastructure automation, observability, incident response, on-call support, disaster recovery validation, HIPAA/HiTrust compliance, IAM and security controls, and support for containerized Java and Python applications. The role also contributes to Kubernetes and EKS modernization initiatives and partners with developers to resolve complex production issues.

Lead customer implementations of healthcare data platform solutions by configuring the Smile platform, scripting, troubleshooting, designing technical solutions, and providing architectural guidance. Collaborate with customers and internal teams to deliver scalable, secure solutions, support technical analysts, contribute to RFPs, manage concurrent projects, and participate in on-call support.

Develop, deploy, test, and support secure enterprise web applications and healthcare reporting solutions. Responsibilities include full-stack design and development, production issue resolution, SQL and report performance tuning, SSRS and SSIS integration, architecture, testing, deployment, data governance, security, and collaboration with business and technical teams. The role also contributes to scalable solution design, project delivery, mentoring, and understanding payer and provider healthcare analytics.

Owns reliability, observability, performance, and security for a multi-region SaaS platform. Responsibilities include managing Datadog, implementing APM and tracing, defining SLOs, developing automation, expanding infrastructure as code and CI/CD, automating operational workflows, maintaining security controls, participating in incident response, documenting procedures, and mentoring engineers.

Design, build, ship, and own high-scale, user-facing product features across frontend, backend, and data systems. Define problems, scope and prioritize work, collaborate with Product, monitor production usage, debug incidents, improve reliability, review code, and mentor engineers. The role requires strong backend expertise alongside React proficiency and ownership from product discovery through long-term maintenance.

Design, build, ship, and own backend product features used by developers and mobile app users at large scale. Scope projects, write reliable and tested code, monitor production systems, participate in architecture and roadmap decisions, respond to incidents, improve scalability and performance, communicate remotely, and mentor engineers. The role requires end-to-end ownership from problem definition through rollout and long-term maintenance.