Top Python Jobs in Miami, FL

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.

Leads enterprise technology architecture, governance, design validation, roadmaps, lifecycle management, vendor assessments, and IT due diligence. Partners across technology teams to establish architecture strategy and standards while improving cost, availability, security, client experience, and flexibility. Requires substantial IT experience, architecture or technical leadership background, AI security expertise, full-stack development experience, and fluency in Python and server-side JavaScript or TypeScript.

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%.

Build and operate Origin’s AI observability platform across data-collection agents, backend services, infrastructure, inference pipelines, APIs, and React interfaces. Design distributed systems using AWS, EKS, ClickHouse, and Kafka for high-throughput, multi-tenant production workloads. Develop internal coding agents and define AI-native engineering practices while making decisions around storage, APIs, performance, and reliability.

Design and build scalable Python backend systems for a real-time AI voice-agent platform. Responsibilities include architecting microservices, APIs, distributed systems, databases, message queues, event-driven workflows, EHR integrations, observability, and HIPAA-compliant infrastructure. The engineer will own backend features end to end, ensure reliability and low latency at scale, and collaborate through technical discussions and code reviews.

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.

Reviews and audits high-definition map datasets for accuracy, completeness, and safety-critical defects. Performs quality control on geospatial data derived from LiDAR, imagery, and vehicle sensors; documents and triages issues; defines QC metrics, sampling strategies, and repeatable workflows; collaborates with mapping engineers, autonomy teams, and vendors; analyzes defect trends; maintains procedures; and supports launch readiness for new corridors and operational domains.

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 components for a maritime domain awareness platform supporting sonar and sonobuoy data. Responsibilities include developing frontend pages and real-time data feeds, designing PostgreSQL and Apache Iceberg data models, modifying MQTT and Redpanda pipelines, managing Dagster batch workflows, integrating machine learning algorithms, and improving development and CI/CD tooling. The role is remote and involves mission-critical defense technology.

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.

Design, build and maintain Microsoft Cloud applications using Power Apps/Pages and Azure services. Implement Entra ID authentication, Azure Functions/App Services, Logic Apps and Blob storage. Create Azure Data Factory pipelines and APIs (REST/GraphQL), integrate external services and LLM data pipelines, and ensure performance, security, and scalability while collaborating with customers to turn requirements into streamlined apps.

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.

Support and evolve development, production, and non-production infrastructure. Maintain GitLab CI/CD pipelines, automate operational tasks with Python and Bash, manage cloud and virtualized environments, troubleshoot incidents, perform root cause analysis, support vulnerability remediation using Tenable Nessus and Wiz, and maintain technical documentation in Jira and Confluence.

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.

Develops automated hardware and software test solutions for photonic integrated circuits and subassemblies. Responsibilities include designing validation plans, characterizing semiconductor optoelectronic devices, controlling instruments and data acquisition, qualifying production test stations, applying Gage R&R and SPC, documenting solutions, and tracking project milestones. The role requires collaboration across engineering teams and troubleshooting of complex test systems.

Build and operate Helius’s bare-metal infrastructure platform. Responsibilities include automating server provisioning and lifecycle management, developing fleet tooling, standardizing CI/CD and deployment processes, implementing security controls, analyzing infrastructure costs, improving observability, participating in on-call response, and documenting operational procedures.

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.

Lead design and implementation of Pinterest Edge systems (CDN, TLS, DNS, proxies) to manage automation traffic and rate limiting at scale. Develop request-processing logic in Envoy, collaborate with vendors and platform teams, mentor engineers, use AI to accelerate workflows, and participate in on-call incident response and reliability improvements.

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.

Design, build, and maintain software using Domain-Driven Design, event-driven architecture, CQRS, and Event Sourcing. Use Cursor and Claude to plan, write, refactor, and test code. Collaborate with small teams, product owners, clients, and engineers to solve business problems, translate requirements into maintainable systems, and mentor teammates on architecture and agentic development workflows.