Top Senior Python Jobs in Miami, FL

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Lead architecture and engineering for Azure core platform: define technology requirements, resolve cross-team issues, drive systemic reliability/performance improvements, mentor engineers, support on-call operations, and apply AI/ML to cloud operations.

Develop and evolve Azure capacity infrastructure, platform capabilities, and service stacks at scale. Provide technical leadership in requirements, architecture, design, coding, release planning, and operational reliability. Mentor engineers, manage cross-product dependencies, serve as a designated responsible individual, participate in on-call support, and improve system availability, observability, performance, and efficiency.

Leads software engineers and provides technical direction across the software development lifecycle. Designs and develops scalable, cloud-first, event-driven applications, Python APIs, integrations, automation, data platforms, CI/CD pipelines, and infrastructure-as-code solutions using AWS. Mentors engineers, conducts design and code reviews, collaborates with stakeholders, leads troubleshooting and production support, and delivers solutions through Agile methodologies.

The Senior Software Engineer for the Treasury team will develop backend services for fund management, ensuring system reliability and leading projects in a fast-paced environment.

Leads engineering teams building and operating data products, risk insights, security controls, cloud systems, pipelines, dashboards, and backend services. Provides technical direction, architecture guidance, hands-on development, people leadership, and delivery ownership. Ensures reliability, data quality, observability, secure engineering, and scalable production outcomes while partnering with product managers and cross-functional stakeholders in agile environments.

Leads the design, development, testing, debugging, and implementation of scalable software applications. Collaborates with product, design, and engineering stakeholders, conducts code reviews, mentors engineers, resolves performance issues, and improves development processes. The role requires proficiency in multiple programming languages, software testing, AI-assisted code generation, and preferably healthcare compliance, full-stack technologies, GraphQL, REST APIs, NoSQL, AWS, and infrastructure as code.

Supports the design and progressive ownership of Azure-based SaaS integrations, centralized data repositories, automated ETL/ELT pipelines, Power BI data models, and secure cloud workflows. Develops automation using Python, JavaScript, and JSON; troubleshoots APIs and authentication issues; documents integration processes; and collaborates with stakeholders. The role is intended for an early-career cloud engineer who will grow toward independently managing cloud data architecture and integration solutions.

Design, administer, optimize, and govern an enterprise Databricks Lakehouse Platform. Responsibilities include managing workspaces, Unity Catalog, compute, workflows, data pipelines, security controls, observability, performance, cost optimization, CI/CD, infrastructure automation, disaster recovery, and platform upgrades. The role also supports audits, compliance, troubleshooting, documentation, technical standards, and mentorship while integrating Databricks with enterprise data, business intelligence, and AI/ML environments.

Build and operate a GitOps-based DevSecOps software factory for federal customers. Develop infrastructure and configuration as code, AWS/EKS deployments, Helm charts, Kubernetes integrations, CI/CD pipelines, and automation scripts. Troubleshoot cluster environments, improve security hardening and compliance, contribute to open source, and collaborate through Agile ceremonies. The role requires active Secret clearance, U.S. citizenship, substantial Kubernetes and cloud experience, and specific security and Kubernetes certifications.

Lead a hands-on Site Reliability Engineering and DevOps team supporting production SaaS environments across Azure and AWS. Own availability, observability, automation, incident response, on-call operations, disaster recovery, and reliability improvements. Manage employees and contractors, coordinate Sev1 and Sev2 incidents, improve monitoring and deployment practices, report operational health, and expand support for FedRAMP High and other regulated environments.

Lead and grow a developer experience team responsible for monorepo strategy, CI/CD, build systems, developer environments, and onboarding. Improve engineering velocity, CI reliability, and developer trust; establish standards, adopt AI-assisted workflows, and partner with infra/ML teams to remove friction for large-scale AI research.

Lead and grow an engineering team building core VM and container platform capabilities for Azure. Drive technical strategy, execution, incident resolution, cross-team coordination, and scalable, secure platform innovations.

Design and implement PostgreSQL internals, indexing, query engine extensions, and storage-layer features to support large-scale document workloads on Azure. Profile distributed systems, tune performance, collaborate with open-source communities, conduct design/code reviews, and drive cross-team alignment for mission-critical database features.

Build and scale Cresta’s no-code conversation intelligence platform across the frontend and backend. Responsibilities include creating visual workflow editors, backend services and APIs, data models, storage layers, and scalable systems using React, TypeScript, Python or Go, Postgres, ClickHouse, and Elasticsearch. Collaborate with product, design, and AI/ML teams to deliver intuitive experiences for non-technical users while improving performance, reliability, security, and maintainability.

Build and modernize Scribd’s core reading experience for millions of users. Responsibilities include migrating Rails frontend surfaces to microfrontends, developing React and Next.js features, creating GraphQL APIs, building Node, Python, and Go services, improving document ingestion infrastructure, collaborating with Data/ML, Design, and Product teams, contributing to the design system, and enhancing frontend performance, accessibility, SEO, and maintainability.

Own quality engineering for high-throughput payment systems by architecting automated regression, performance, stress, and load testing. Build emulators for external payment systems, integrate quality gates into CI/CD pipelines, validate microservices, event-driven architectures, and databases, and use Prometheus and Grafana for observability. Apply AI-assisted testing, synthetic data generation, and edge-case analysis while mentoring engineers and preventing incidents through telemetry-driven testing and post-mortems.

Design and deliver secure, scalable Azure infrastructure and application modernization solutions for enterprise customers. Lead migration assessments, roadmaps, proofs of concept, production deployments, technical program management, and resolution of complex blockers. Advise customers, partners, and executives; drive cloud adoption, consumption growth, and AI-enabled transformation. Contribute reusable frameworks and intellectual property, mentor technical teams, and provide feedback to improve Microsoft products and migration factory processes.

Leads a full-stack engineering team building AI-powered products and workflows for go-to-market functions. Responsibilities include engineering strategy, architecture, reliability, security, hiring, performance management, cross-functional discovery, prototyping, production delivery, and measurement. The role owns integrations across Salesforce, data platforms, product systems, and AI services while delivering measurable improvements in revenue, conversion, productivity, or quality.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Lead enterprise-scale migrations to GitHub Enterprise Cloud, including repositories, users, access controls, workflows, Enterprise Managed Users, and data residency. Build governed identity and access environments, validate integrations, and document handoffs. Design and maintain scalable internal developer platforms, standardize tooling, and develop self-service infrastructure and CI/CD capabilities. Partner with client IT teams, mentor engineers, and apply cloud-native architecture, Kubernetes, automation, and Infrastructure as Code practices.

Build and maintain reliable, secure, scalable backend systems for Lithic’s product platform. Own projects end to end across API key management, reliability, audit logging, search, and API infrastructure. Improve system reliability, reduce technical debt, participate in on-call rotations, and lead team process improvements while collaborating asynchronously across time zones.

Build and operate highly scalable storage infrastructure supporting petabyte-scale imagery data. Responsibilities include developing backend services and APIs, managing object storage and metadata indexing, tuning Elasticsearch, improving disaster recovery, monitoring performance, responding to incidents, contributing to architecture and roadmaps, and advising engineers. The role requires strong production software engineering experience with Go or Python, cloud-native systems, relational and non-relational databases, and highly available services.

Lead and grow a backend/platform engineering team building API-driven systems and core services. Own technical direction, architecture, reliability, and integration with product, data science, and infrastructure. Hire and mentor engineers, contribute to code and architecture, support incident response, and ensure scalable, secure, production-ready backend APIs and platform tooling.

Build and enhance scalable full-stack applications and microservices using React and Java or Python. Diagnose performance and architectural issues, develop production-grade user interfaces, collaborate in Agile environments, and deliver cloud-based solutions. The role includes end-to-end implementation ownership, technical decision-making, team leadership, mentoring, and applying AI-assisted development tools. Work is remote eligible and supports mission-critical customer systems.