Top Senior Python Jobs in Miami, FL

Build and maintain scalable full-stack web application features and distributed microservices. Own complex features from design through deployment, improve application performance and reliability, support on-call operations, troubleshoot incidents, enhance CI/CD and container infrastructure, and collaborate with product, design, infrastructure, and API teams. Mentor engineers and contribute to technical standards while delivering customer-focused shipping and fulfillment experiences.

Own database reliability, scalability, and operational excellence across cloud and on-premises environments. Build automated Kubernetes-based database platforms, infrastructure tooling, failover and backup systems, and self-healing capabilities. Lead observability, performance optimization, capacity planning, incident response, and safe migration practices. Partner with application teams, leverage AI for operational improvements, mentor engineers, influence architecture, and drive technical strategy for highly available database infrastructure.

Build and operate backend APIs, a reusable integration platform, security-tool connectors, MCP capabilities, and event-driven services. Own GraphQL federation, permissions, multi-tenant access, reliability, observability, vendor API resilience, and production operations. Collaborate across engineering, product, and security teams while mentoring other engineers and contributing to technical standards.

Build and operate backend services for licensing, entitlements, provisioning, access control, multi-tenant administration, MSP/MSSP workflows, audit logging, and notifications. Design reliable cloud-native systems using Docker, Kubernetes, and relational databases, while contributing to observability, incident response, documentation, testing, and platform security. Collaborate across engineering, product, and design teams and mentor less experienced engineers.

Leads customer-facing cloud and AI data platform architecture on Microsoft Azure. Designs secure, scalable, resilient, and performance-optimized solutions; leads architecture sessions, proofs of concept, deployments, and modernization initiatives. Advises technical and business leaders, supports partners and sales teams, manages delivery risks, drives adoption and consumption, mentors colleagues, contributes to reusable frameworks and intellectual property, and influences product roadmaps through customer insights.

Lead technical execution for teams building endpoint agents, backend and inference services, cloud infrastructure, and customer-facing products. Translate engineering priorities into plans, milestones, and ownership; guide architecture and implementation; manage, mentor, and develop engineers; oversee planning, delivery, quality, hiring, and onboarding; and remove technical or resourcing blockers. The role requires hands-on technical judgment, distributed systems experience, and familiarity with agentic coding tools in a fast-moving startup environment.

Build customer-embedded solutions for Origin’s AI observability platform. Investigate customer traces and operational data using SQL, ClickHouse, APIs, and MCP tools; develop dashboards, integrations, workflows, prototypes, and production code; lead technical discovery; and translate field insights into reusable product capabilities. The role requires close collaboration with enterprise engineers, security teams, AI platform teams, and executives, with travel of up to approximately 20%.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Develop and maintain Xactly Connect integration pipelines, transformations, schedules, and data exchanges. Partner with finance, sales compensation, accounting, sales, and IT stakeholders to define requirements. Troubleshoot data quality issues, failed jobs, mismatches, and pipeline errors before commission runs. Document configurations, mappings, and transformation logic while supporting continuous improvement.

Serve as a technical partner for utility customers across pre-sales discovery, implementation scoping, pilots, and end-to-end deployments. Build integrations with asset management, GIS, inspection, and reporting systems; develop reusable deployment tooling and AI agents; address security and architecture concerns; identify expansion opportunities; and translate recurring field needs into product improvements. The role is approximately 80% customer-facing and requires close collaboration with Sales, Product, Solutions, and Engineering.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Designs, develops, and leads scalable healthcare software solutions involving transaction processing, interoperability standards, integrations, and data platforms. Provides hands-on engineering, architectural leadership, quality ownership, risk management, technical mentorship, and cross-functional collaboration. The role requires building high-performance cloud-based SaaS solutions using microservices and serverless architectures, while guiding engineering strategy and ensuring secure, reliable delivery.

Build and maintain full-stack applications for a maritime data management and AI platform. Responsibilities include developing frontend components, real-time WebGPU data feeds, PostgreSQL and Apache Iceberg data models, MQTT and Redpanda pipelines, Dagster batch workflows, machine learning integrations, and CI/CD tooling. The role supports mission-critical products used with U.S. Navy sonar and sonobuoy data.

Build and scale full-stack applications using Ruby on Rails, React, PostgreSQL, Docker, Kubernetes, and Terraform. Design APIs, data architectures, synchronization systems, infrastructure, and CI/CD pipelines for secure, reliable operation in disconnected and low-bandwidth environments. Collaborate across engineering, business development, and mission teams while supporting critical defense and public safety operations.

Design and optimize large-scale GPU clusters spanning compute, networking, storage, and control planes. Model AI workload performance, architect InfiniBand and RoCEv2 interconnects, integrate high-performance storage, assess reliability and monitoring signals, and collaborate with infrastructure teams to operationalize architectures across data centers.

Owns external partner and merchant integrations from discovery through launch and production support. Designs integration paths, guides partner developers, validates implementations, troubleshoots issues using observability and technical tools, and coordinates with Engineering, Product, and Sales. The role also improves integration processes, documentation, ticketing, partner communications, and automation opportunities while translating complex technical concepts for external partners.

Designs, operates, and improves scalable cloud and on-premise infrastructure, CI/CD pipelines, Kubernetes platforms, data streaming systems, and observability tooling. Owns AWS reliability, security, cost efficiency, automation, progressive deployments, incident response, and production troubleshooting. Partners with software engineering teams to integrate services and drive continuous improvements in system performance, scalability, and uptime.

Build and scale reliable software systems supporting donor platforms, cash payments, and rapid-response programs. Own features end to end from architecture through deployment and monitoring, improve CI/CD and testing, troubleshoot production issues, and collaborate with product, operations, and data teams. The role also contributes to technical roadmaps and sustainable engineering practices in a mission-driven, fully remote organization.

Owns end-to-end QA coverage across firmware, cloud services, and mobile applications for IoT products. Tests device-to-cloud communication, APIs, business logic, connectivity failures, offline operation, OTA updates, and rollback scenarios. Analyzes device and cloud logs, develops test data strategies, prioritizes automation scenarios, and maintains smoke and regression testing processes. Requires systems thinking, embedded and mobile testing experience, API testing, Agile QA processes, and familiarity with relevant test management tools.

Own and evolve scalable distributed systems, REST APIs, backend services, and core product areas. Design solutions, improve resilience, reduce technical debt, and drive modularization. Use AI-first and agentic development practices, evaluate emerging AI tools, and help integrate AI across engineering workflows. Collaborate asynchronously with product, data, and go-to-market teams while improving engineering tools, processes, and system reliability.

Build and operate AWS GovCloud data infrastructure across development, preproduction, and production environments. Establish PostgreSQL platforms, infrastructure-as-code with Chef, BI infrastructure, identity integrations, monitoring, observability, CI/CD, and disaster recovery. Support data pipelines, troubleshoot incidents, optimize databases, and ensure FedRAMP and FISMA compliance. Collaborate with security, compliance, DevOps, and data engineering teams while delivering greenfield infrastructure from architecture through production.

Design, develop, and maintain high-performance networking software using C/C++ and Python. Work across L2-L7 protocols, Linux systems, virtualized environments, and network virtualization technologies. Debug complex distributed-system issues, analyze crash files, configure and test VM-based networking, and collaborate with architecture, QA, and DevOps teams. Participate in design reviews, documentation, and mentoring while delivering scalable, reliable, production-quality software.

Leads regional teams responsible for data engineering, application support, and software development. Oversees enterprise data platforms, business applications, integrations, custom software, governance, analytics, modernization, cybersecurity compliance, and operational reliability. Manages technology roadmaps, projects, priorities, resources, vendors, and stakeholder relationships while aligning solutions with business objectives.

Lead the architecture, development, and operation of a cross-platform RMM endpoint agent for Windows, macOS, and Linux. Build systems-level components in Rust and C/C++, secure networking capabilities, and integrations with distributed backend services. Improve concurrency, performance, reliability, and resource usage while owning components through production support. Lead technical decisions, design and code reviews, cross-team initiatives, and mentorship for systems engineering practices.

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.