Top Senior Python Jobs in Miami, FL

Build and own end-to-end full-stack features across frontend, API, and data layers for the TradeEngage platform. Develop integrations with field service platforms, job routing and matching logic, payment workflows, and technician-facing experiences. Use LLMs and AI tools in production and daily development. Lead projects independently from concept through deployment while collaborating closely with founders, customers, and users.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Build and operate Dragos’s web application, GraphQL and gRPC APIs, and client SDKs. Develop React and TypeScript features, design versioned API contracts, maintain Python, TypeScript, and Go SDKs, and collaborate with Product, Design, and backend engineering. Improve performance, accessibility, observability, security, testing, and code quality while supporting security data at scale.

Design and implement C++ features for MongoDB’s replication infrastructure, improving availability, recovery, consistency, performance, and fault tolerance. Diagnose distributed-systems issues, develop comprehensive tests, collaborate across engineering teams, participate in design and code reviews, and mentor junior engineers. The role involves owning technical work from investigation through delivery and contributing to major MongoDB releases.

Develop and maintain MongoDB server workload resilience infrastructure in C++ or Rust. Design workload policies for rate limiting, prioritization, overload mitigation, availability, and performance. Write unit and integration tests, investigate failures, improve observability, diagnose and fix complex distributed-system issues, and lead technical projects. Collaborate across engineering teams, mentor junior engineers, participate in hiring, and improve operational readiness, monitoring, incident management, and rollout processes.

Build and enforce workload safety standards across Affirm’s Amazon EKS fleet. Responsibilities include Kubernetes resource management, workload isolation, disruption handling, cluster capacity analysis, policy automation, production debugging, incident response, fleet-wide rollouts, technical leadership, mentoring, and measuring infrastructure impacts on availability, latency, risk, and cost.

Design, operate, and scale SailPoint’s AWS-based Kubernetes infrastructure and service mesh for a global, mission-critical SaaS platform. Responsibilities include cluster architecture, networking, security, GitOps, CI/CD, observability, capacity planning, incident response, compliance, and platform standards. The role influences engineering teams globally, participates in 24x7 on-call support, leads service mesh strategy, and improves reliability, performance, deployment efficiency, and operational practices.

Leads software quality engineering across digital banking products by designing scalable automated tests, expanding frameworks, integrating testing into CI/CD, analyzing defects, and closing testing gaps. Partners with engineering and product teams on quality strategy, reviews automation code, mentors SDETs and QA professionals, leads testing teams, supports bug triage, and establishes consistent testing standards across multiple product areas.

Build and maintain automated data quality testing for customer data pipelines. Responsibilities include developing dbt, Soda, and SQL checks; validating schemas, loads, sequencing, and downstream reconciliations; detecting anomalies; managing severity levels and customer overrides; reporting quality metrics; and partnering with engineering teams to embed testing into new pipelines. The role requires strong backend testing, SQL, Python, Airflow, and Databricks experience, along with excellent debugging and communication skills.

Own and improve Hex’s cloud infrastructure, CI/CD, observability, databases, security, cost management, and single-tenant deployment systems. The role involves selecting and delivering infrastructure projects, operating Kubernetes and AWS environments, scaling PostgreSQL, implementing infrastructure as code, and building customer-facing platform capabilities. Engineers are expected to handle on-call responsibilities, write application code when needed, and independently turn ambiguous infrastructure problems into shippable solutions.

Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.

Build testing tools, frameworks, metrics, and standards for Cedar’s engineering teams. Improve test-suite reliability, speed, coverage, service-to-service testing, and CI/CD integration. Establish testing best practices, connect tests to product behavior, and lead quality-improvement projects from investigation through adoption. The role requires strong software development and testing expertise in Python and JavaScript/TypeScript, with experience using modern testing frameworks and measuring test performance and reliability.

Lead Headway’s Infrastructure team, owning AWS cloud infrastructure, deployment pipelines, LLM platform capabilities, databases, observability, reliability, and incident response. Hire and develop engineers, establish self-service platform practices, reduce incident blast radius, define production readiness for AI workloads, and partner with Security and product engineering teams. The role combines technical leadership, people management, platform strategy, design reviews, and hands-on incident response.

Manage the Loans Lifecycle software engineering team at Affirm. Set technical strategy, lead delivery of business-critical projects, ensure system reliability and operational readiness, establish quality standards, collaborate with product and analytics teams, and coach engineers. The role focuses on highly available distributed financial systems and audit-grade ledger technology using backend technologies including Python, Kotlin, AWS, MySQL, Spark, and Kubernetes.

Own and improve Dropbox’s Windows endpoint platform, including provisioning, application delivery, patching, compliance, security configuration, troubleshooting, fleet health, and automation. Build code-managed endpoint operations using Intune, FleetDM, osquery, infrastructure-as-code, and GitOps practices. Lead cross-functional improvements, establish reliable deployment workflows, mentor engineers, review code and designs, and document reusable operational practices.

Build Apollo’s AI-powered Builder Studio end to end, including chat-driven app creation, live previews, generated-app runtimes, workflows, integrations, delegated permissions, security, and reliability. The role requires strong full-stack development, production LLM experience, frontend expertise with complex UIs, backend and workflow design, and ownership of an ambiguous 0-to-1 product.

Build and maintain authentication and fine-grained authorization systems using Auth0 and OpenFGA. Own OAuth 2.0 and OpenID Connect implementations, identity federation, token flows, and permissions for AI agents. Lead cross-team technical projects, set engineering standards, review code, and mentor engineers. The role requires strong backend development skills and experience with identity providers, ReBAC systems, and complex multi-tenant authorization models.

Build and operate reliable, scalable infrastructure using Terraform, Kubernetes, AWS, and CI/CD automation. Own cloud networking, IAM, secrets, observability, disaster recovery, cost optimization, and platform resilience. Improve deployment practices, eliminate manual toil, lead incident response and postmortems, modernize legacy infrastructure, and partner with engineering teams to deliver secure, reproducible systems. The role is remote with travel to Orlando at least twice annually.

Own QA strategy and release quality for POS, back-office, and payments products. Build automated unit, integration, API, contract, and end-to-end tests; integrate testing into GitHub Actions; validate hardware, offline modes, payment flows, and upgrades; establish release gates and test environments; monitor quality metrics; reproduce merchant issues; and coach engineers on testable design and quality practices.

Lead enterprise automation and agentic AI initiatives, owning the automation and integration stack and Center of Excellence. Build secure, reusable workflows and integration frameworks using platforms such as Zapier, Claude, and Glean. Establish governance, standards, documentation, and prioritization practices while partnering with IT, innovation teams, engineers, business stakeholders, and executives. Identify operational inefficiencies, develop automation roadmaps, and deliver scalable systems with secure data handling, access controls, human oversight, and measurable business impact.

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

Establishes and owns Bloom’s production support and incident response function. Responsibilities include implementing monitoring, supporting major incidents, coordinating responders and vendors, overseeing root cause analysis, tracking preventive actions, automating repetitive support tasks with Python or Bash, maintaining documentation, and measuring incident response effectiveness. The role also supports client-facing Operations teams with onboarding, offboarding, sandbox resets, and other technical support needs while partnering with product and engineering teams to reduce support overhead.

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.

Design and scale foundational APIs and backend services for LogicGate’s multi-tenant GRC platform. Build distributed systems using Java/Kotlin, Spring Boot, AWS, databases, caching, and messaging technologies. Improve reliability, observability, performance, testing, and CI/CD practices. Lead technical design reviews, collaborate cross-functionally, mentor engineers, and use AI coding tools to improve development efficiency.