Top Senior Python Jobs in Miami, FL

Own and evolve the platform supporting product engineering teams, including reliability, observability, test infrastructure, developer experience, infrastructure strategy, cost management, compliance controls, and platform on-call. Lead AWS, EKS, Terraform, CI/CD, and multi-account platform improvements while defining the roadmap and partnering with engineering teams and infrastructure vendors.

Design, build, deploy, and maintain full-stack applications spanning frontend interfaces, backend services, APIs, databases, integrations, and cloud infrastructure. Own complex systems, improve reliability and technical debt, make architectural decisions, mentor engineers, and contribute to code reviews and engineering practices. Evaluate AI-assisted development opportunities and collaborate with product teams, stakeholders, and customers to deliver secure, maintainable software capabilities.

Design, build, and scale Shepherd’s core platform, backend systems, APIs, user-facing applications, and AI-powered legal workflows. Architect secure, reliable infrastructure for sensitive legal data, collaborate with legal and product teams, build internal tools, optimize performance, and own technical decisions. The role also involves rapid prototyping, mentoring and recruiting engineers, and contributing to SOC 2 readiness and data privacy practices.

Designs and manages multi-cloud infrastructure across GCP, AWS, and Azure using Terraform and Kubernetes. Provides hands-on developer support, troubleshoots infrastructure and cluster issues, and maintains highly available systems. Responsibilities include networking, container orchestration, monitoring, logging, CI/CD automation, documentation, security collaboration, and on-call participation.

Leads software engineering teams responsible for designing, developing, and delivering high-quality software solutions. Manages hiring, performance, team development, architecture, code reviews, resource planning, engineering standards, and continuous improvement. Collaborates with product managers to align engineering work with product goals and contributes to project delivery, technical decisions, and an inclusive remote-first team culture supporting healthcare technology systems.

Provides technical leadership for Azure cloud-scale distributed data platforms processing network telemetry and operational data. Defines architecture and long-term technical strategy, leads streaming and batch system design, resolves complex scalability and reliability challenges, oversees production readiness and continuous improvement, and influences cross-team technical investments. Partners across Azure Networking, conducts design reviews, establishes reusable engineering patterns, improves observability and quality, and mentors engineers and technical leaders.

Develops and maintains enterprise infrastructure automations using Ansible, ARIA, Python, Bash, and PowerShell. Builds RESTful APIs, Infrastructure as Code solutions, CI/CD pipelines, integration workflows, and automated testing frameworks. Supports the full automation development lifecycle, troubleshoots production issues, documents solutions, and collaborates with infrastructure, security, and service teams in Agile environments. Requires advanced infrastructure automation experience, Linux and Windows administration expertise, secure coding knowledge, and Public Trust eligibility.

Administer, architect, build, secure, and maintain resilient AWS cloud infrastructure, applications, containers, and Linux systems. Automate infrastructure with Terraform and Ansible, support DevOps deployments and patching, and integrate AI-driven automation and AIOps tools. Provide technical guidance, mentorship, and support to cloud engineers while improving operational efficiency and security.

Build and maintain full-stack features using Ruby on Rails and Vue.js, from database design through user interfaces. Develop APIs, background jobs, automated tests, and PostgreSQL queries; review code, troubleshoot production issues, and improve CI/CD pipelines. Collaborate with product, design, QA, and client stakeholders to scope and ship iterative releases. The role also involves dependency upgrades, technical-debt reduction, and responsible use of AI coding assistants.

Designs and maintains CI/CD pipelines, infrastructure automation, deployment processes, monitoring, and operational tooling for Java-based enterprise applications. Integrates automated testing, security scanning, vulnerability management, containerization, and secure credential practices. Collaborates with development, cybersecurity, database, QA, systems administration, and customer teams to deliver reliable releases and support compliance, hardening, patching, and continuous monitoring in a controlled environment.

Administer and optimize on-premises Appian environments across development, test, staging, and production. Responsibilities include configuration, deployments, upgrades, patching, monitoring, troubleshooting, access control, performance management, incident resolution, and operational documentation. The role supports Java enterprise applications in Linux environments and collaborates with developers, infrastructure, cybersecurity, database, release management, vendors, and federal customers.

Designs and advances enterprise data and AI architectures, including cloud platforms, data warehouses, lakehouses, machine learning, generative AI, integrations, and governance. Leads architecture standards, technical evaluations, proofs of concept, design reviews, troubleshooting, and implementation with engineering teams. Establishes data lineage, metadata, model governance, security, privacy, and compliance frameworks while advising executives on roadmaps, risks, trade-offs, and technology investments.

Develop and operate software for Azure’s hyperscale networking infrastructure and SONiC switch and router platforms. Responsibilities include designing, coding, optimizing, debugging, and maintaining network software; supporting packet forwarding, telemetry, observability, reliability, and performance; creating design and release plans; responding to incidents; and mentoring engineers. The role requires expertise in software engineering, IP networking, distributed systems, Linux, SDN technologies, and container-based environments.

Designs and develops Python-based reliability tools and cloud solutions on AWS using Terraform. Builds automation, observability, CI/CD pipelines, and testing frameworks; defines SRE standards, SLIs, SLOs, and error budgets; participates in incident response, on-call support, root-cause analysis, and postmortems. Collaborates across Agile teams to improve platform reliability, reduce toil, optimize cloud costs, and advance cloud-native engineering practices.

Build and operate scalable AI platform infrastructure enabling secure, reliable access to foundation models and AI agents. Responsibilities include developing model gateways, provider integrations, routing, usage controls, observability, governance, and self-service platform capabilities. The role involves architecting distributed systems, improving reliability and security, collaborating across engineering and product teams, mentoring engineers, and establishing high-quality engineering practices.

Architect and deliver complex distributed systems using Azure cloud-native technologies, microservices, APIs, and event-driven patterns. Lead architecture reviews, reliability initiatives, performance optimization, incident response, and root-cause analysis. Drive adoption of AI-assisted development tools while maintaining security and code quality. Collaborate across engineering, DevOps, QA, and product teams, and mentor engineers on technical design, development practices, and AI-enabled workflows.

Leads architecture, modernization, optimization, and reliability initiatives for mainframe CICS, MQ, and z/OS Connect environments. Provides technical direction across development and operations teams, establishes governance and change processes, tunes performance using telemetry, resolves incidents, and develops modernization roadmaps. Collaborates with stakeholders and enterprise architects to deliver secure, scalable, high-availability solutions while evaluating automation, cloud integration, and AI technologies.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

The Senior Quality Engineer develops quality strategies, automated test frameworks, and complex testing scenarios across web, mobile, media, voice, and backend applications. Responsibilities include integrating automation into development workflows, selecting testing tools, monitoring quality KPIs, managing risks, improving processes, and collaborating with cross-functional teams. The role also leads and mentors junior engineers and supports Agile, CI/CD, and test coverage initiatives.

Design, develop, and operate highly scalable and resilient Azure VM Scale Set cloud services. Own features from architecture through deployment and operations, solve distributed-systems challenges at hyperscale, and drive reliability, security, performance, disaster recovery, testing, monitoring, automation, and engineering best practices. Collaborate across teams to deliver platform capabilities and customer outcomes.

Own the architecture, implementation, and operational excellence of major Azure Boost DPU software components. Develop low-level systems software spanning operating systems, virtualization, networking, storage, device management, and hardware interfaces. Lead complex cross-functional initiatives, optimize hyperscale performance and reliability, resolve system-level issues, establish engineering practices, influence platform architecture, and mentor engineers across Azure infrastructure teams.

Develop and execute verification strategies for complex hardware IP, subsystems, and full-chip designs supporting Azure cloud servers. Responsibilities include writing test cases, simulators, and device specifications; evaluating verification tools; reviewing silicon architecture; managing schedules and risks; coordinating with internal and external teams; and contributing to training and technical leadership.

The Integration Engineer will design and maintain healthcare data integrations, collaborating with teams to optimize performance and improve reliability using Python and various standards.

Provides technical leadership for a national optical transport network, defining architecture, roadmaps, capacity plans, service specifications, automation, telemetry, and infrastructure strategy. Designs and validates coherent DWDM and ROADM solutions, manages fiber and vendor relationships, supports deployment and 24x7 operations, resolves incidents, mentors engineers, and represents the organization in industry standards and research networking communities.