Top Senior Python Jobs in Miami, FL

Manage and mentor software and systems engineers while remaining hands-on with Python, TypeScript, and SQL development. Lead architecture, cloud infrastructure, data pipelines, CI/CD, testing, security, HIPAA compliance, and system reliability. Partner with clinicians, product managers, and security teams to deliver healthcare technology solutions. Oversee technical initiatives, budgets, hiring, team culture, incident response, and engineering processes for a fully remote team.

Manage and mentor a backend engineering team while remaining hands-on with technical design and problem solving. Set backend architecture, service strategy, roadmaps, and engineering standards for scalable, secure systems. Partner with product, data, infrastructure, and frontend teams to deliver reliable customer-facing software, deploy models, improve platform tooling, and support incident response. Recruit engineers, guide team development, and foster ownership and continuous improvement.

Lead customer implementations from discovery through deployment and support. Design and develop production software integrations, make architecture decisions, facilitate executive working sessions, and resolve implementation issues independently. Build reusable components, collaborate with product teams, and deliver customer-facing solutions involving data pipelines and machine learning workflows. The role requires strong Python, TypeScript, cloud, communication, and healthcare or life sciences experience, with 10–15% client travel.

Architects, deploys, and enhances secure, scalable Azure cloud environments using Terraform and infrastructure as code. Leads Azure landing zone architecture, governance, automation, CI/CD integration, self-service enablement, cloud optimization, and compliance with healthcare security standards. Supports cloud operations, troubleshooting, on-call availability, and team training, including GitHub Copilot and Azure MCP Server adoption.

Build and operate backend platform services for query execution, journey orchestration, data transformation, and export delivery. Design APIs and integrations with cloud data warehouses, improve reliability and observability, support real-time capabilities, participate in on-call, resolve customer and production issues, and develop automation and shared components. Mentor engineers and help build AI-powered products.

The Senior Software Engineer will design and develop backend systems and APIs, mentor other engineers, and resolve complex integration challenges in healthcare technology.

Design, develop, optimize, and maintain core game engine systems using modern C++. Collaborate with external programmers, evaluate technologies, improve runtime performance, and resolve crashes and bottlenecks across PC and console platforms. The role requires commercial game development experience, strong computer science fundamentals, multithreading expertise, and GPU/CPU profiling knowledge. This is an engine programming position rather than gameplay engineering.

Lead the technical architecture and implementation of scalable GTM systems, Salesforce solutions, integrations, AI-powered workflows, data models, and scoring frameworks. Build advanced Salesforce applications using Apex, Flow, APIs, and custom objects; manage Workato and Zapier integrations; prototype with AI development tools; translate executive goals into technical designs; and mentor GTM engineers and administrators on development, testing, documentation, and deployment best practices.

Develop and integrate software, algorithms, and data-processing pipelines for remote sensing, SAR, RF, radar, and geospatial systems. Responsibilities include architecture, backend and API development, workflow orchestration, sensor-data analysis, system integration, testing, optimization, deployment, and technical documentation. Collaborate across software, systems, data science, and intelligence disciplines while providing technical leadership on complex projects.

Design and implement cloud infrastructure and MLOps solutions for AI and ML customers. Serve as a trusted technical advisor through proof-of-concepts, workshops, presentations, and training. Develop infrastructure-as-code architectures, optimize GPU cloud pipeline performance and scalability, document technical solutions, and collaborate with support, product, and marketing teams.

Designs and delivers integrated cloud, AI, and GPU infrastructure solutions for strategic technology partners. Responsibilities include architecting integrations, building production-grade reference implementations, defining networking and security patterns, enabling partner engineering teams, supporting customer deployments, troubleshooting complex environments, and translating partner feedback into product roadmap requirements. The role requires deep Kubernetes, Terraform, Python, AI inference, integration architecture, and cloud infrastructure expertise.

Build and operate backend safety infrastructure, including automated moderation, abuse detection, AI guardrails, APIs, internal tools, and production services. Integrate machine-learning models, monitor system reliability, respond to emerging threats, and translate product, legal, and policy requirements into scalable technical solutions. Collaborate across engineering, investigations, product, legal, and safety policy teams while shaping the architecture and evolution of ElevenLabs’ safety systems.

Designs and manages cloud infrastructure platforms using infrastructure as code, Kubernetes, CI/CD, and multi-cloud technologies. Responsibilities include improving developer experience and DevSecOps maturity, troubleshooting and optimizing platform reliability, implementing zero-downtime maintenance, automating processes, integrating security controls, documenting technical systems, and mentoring engineers. The role also drives scalability, cost optimization, availability, and continuous delivery across Reltio’s cloud services.

Own and scale Drivetrain’s multi-cloud AWS and GCP infrastructure, Kubernetes platforms, CI/CD pipelines, Terraform modules, automation, observability, and security practices. Drive reliability engineering through capacity planning, incident response, postmortems, and SLI/SLO/SLA management. Partner with development teams to improve application deployability, scalability, resilience, and operational efficiency across the SaaS platform.

Develop, test, deploy, and maintain RPA solutions using Microsoft Power Automate Desktop, with emphasis on Finance workflows. Identify automation opportunities, design reusable components, integrate Microsoft and third-party systems, document processes, troubleshoot exceptions, train stakeholders, and support governance, security, and compliance standards.

Leads technical direction and cross-team delivery of scalable software capabilities for a digital banking platform. Designs secure APIs, microservices, integrations, data contracts, and reliable full-stack systems. Partners across product, design, security, architecture, data, and engineering; mentors engineers; leads incident response; improves testing, CI/CD, developer tooling, and operational readiness. The role requires hands-on coding, architecture leadership, dependency management, and influence without direct people management.

Administer and support Oracle E-Business Suite environments across production, test, development, and disaster recovery systems. Manage Oracle 19c RAC, Data Guard, Exadata, upgrades, patching, backups, restores, cloning, migrations, monitoring, performance tuning, capacity planning, and high availability. Automate DBA tasks with Python, Shell, Perl, and Ansible while collaborating with functional, infrastructure, security, and vendor teams. Support mission-critical financial systems and participate in off-hours deployments and incident response.

Build and lead a scalable platform engineering function spanning CI/CD, infrastructure, observability, developer tooling, environments, and production operations. Develop internal tools, reusable automation, paved roads, and AI-assisted workflows that improve developer experience, delivery reliability, and engineering productivity. Partner across teams, guide architecture and standards, measure DORA and DX metrics, and shape the platform roadmap while providing hands-on technical leadership.

Develop and maintain enterprise automation solutions using Ansible, Python, Bash, and PowerShell. Build RESTful APIs, Infrastructure as Code, CI/CD pipelines, and automated testing frameworks across Linux, Windows, and cloud platforms. Manage the full automation software lifecycle, integrate enterprise systems, support production environments, document solutions, and collaborate with infrastructure, security, and service teams in Agile environments.

Build and operate full-stack features across database, API, and front-end layers using Ruby on Rails. Own complex problems end to end, modernize legacy systems, design durable APIs, improve reliability and developer productivity, and participate in production support. Collaborate with product and engineering teams, document technical decisions, mentor peers, and contribute to architecture, code reviews, and on-call operations. The role also involves using modern developer tooling and working on scalable fleet and service-management software.

The role involves embedding with client teams to build AI features, manage integrations, and ensure project deliveries are met. Candidates must have extensive production software experience and be comfortable working hands-on with clients.

Design, test, document, and deploy geospatial software solutions for defense and intelligence imagery. Integrate analytical toolkits with ArcGIS, define user requirements, lead lab testing and automated QA efforts, and collaborate on software releases. The role applies remote sensing, photogrammetry, image processing, and AI while mentoring colleagues and managing project dependencies.

Lead observability and incident management efforts: define SLIs/SLOs, build monitoring/alerting, dashboards, logging, and tracing. Drive incident response, postmortems, and reliability improvements to reduce MTTD/MTTR. Integrate observability into CI/CD, maintain AWS and Kubernetes infrastructure, automate operations, and mentor engineers on SRE best practices.

Designs, automates, and optimizes mission-critical PostgreSQL, Oracle, MySQL, and DynamoDB platforms. Builds infrastructure as code, CI/CD pipelines, automated failovers, database tooling, and Kafka-based change data capture and replication frameworks. Partners with systems engineers, developers, and architects to deliver resilient, high-performance, event-driven data infrastructure. Maintains monitoring, alerting, security, access controls, query optimization, and real-time data availability across AWS environments.

Designs, develops, deploys, and sustains Azure infrastructure for AI training and inference workloads. Responsibilities include coding, hardware and software integration, distributed systems, networking, GPU and cluster design, performance optimization, debugging, automation, test-driven engineering, documentation, partner collaboration, and on-call incident response. The role drives scalable, reliable infrastructure and mentors engineers while improving quality, maintainability, and customer outcomes.