Top Senior Python Jobs in Miami, FL

Build and lead UpDoc’s software quality engineering function for regulated, safety-critical healthcare technology. Own risk-based testing, traceability, verification evidence, automated test frameworks, CI/CD integration, defect management, release readiness, and failure investigation across web applications, APIs, integrations, and clinical workflows. Partner with Engineering, Clinical, Product, and Quality/Regulatory teams while establishing scalable quality processes and mentoring a growing team.

Build and maintain Python backend services, APIs, healthcare integrations, and reliable platform infrastructure. Collaborate with product, frontend, engineering, and clinical teams to define functionality, ensure safety, troubleshoot production issues, and deliver projects end to end. Contribute to DevOps, CI/CD, observability, testing, code review, and technical architecture for an AI-powered healthcare platform.

Build and maintain reliable integrations between UpDoc and healthcare systems, EHRs, and external APIs. Own integration projects from discovery and architecture through deployment, monitoring, troubleshooting, and maintenance. Develop Python APIs and backend services using FastAPI and Pydantic, implement healthcare interoperability standards, handle failures and data integrity, and create automated tests. Collaborate with healthcare technology stakeholders while supporting security, HIPAA, SOC 2, observability, and clinical reliability requirements.

Build and operate Danaher’s enterprise data platform automation and reliability layer. Responsibilities include Infrastructure-as-Code, CI/CD, self-service developer enablement, data platform provisioning, observability, SLOs, auto-remediation, FinOps, compliance guardrails, and event-driven operations across Snowflake, Azure, Matillion, dbt, and Airflow. The role also develops AI-driven operators and copilots using Azure AI Foundry, Anthropic Claude, and related agent frameworks.

Design, build, and operate secure cloud-native and edge infrastructure for classified and commercial environments. Own end-to-end platform outcomes, harden artifact pipelines for signed builds across cloud and air-gapped deployments, embed with product teams to advise on secure deployments, and support compliance/audit activities (STIGs, CVE remediation) to enable operation in IL5/IL6/JWICS environments.

Lead and deliver quarterly goals for a backend team; guide engineers through ambiguous problems; collaborate with product, design, and analytics; identify and resolve project and technical issues; ensure operational availability and on-call readiness; set code and design quality standards; and mentor and develop team members.

Lead design and delivery of enterprise-grade integrations between Samsara and customer systems. Own architecture, implementation, mentorship, cross-functional coordination, troubleshooting, automation, and customer-facing technical enablement for complex B2B integrations.

Design, automate, and maintain scalable infrastructure and SRE tooling. Manage Kubernetes clusters, CI/CD, monitoring, and incident response. Improve processes, reduce toil via automation, and collaborate with engineering and data teams to support domestic and international workloads.

Lead engineering ownership of an acquired consumer VPN product from due diligence through integration, stabilization, and growth. Manage and coach engineers while remaining hands-on with Kotlin, Swift, Go, architecture, operations, security, and production incidents. Establish testing, CI/CD, infrastructure, documentation, and compliance practices; partner with product, corporate development, marketing, and operations; and create a repeatable engineering playbook for future acquisitions.

Lead a backend engineering team responsible for Benepass Core Services, including ledger, decisioning, authentication, integrations, and money movement systems. Manage and develop 4–6 engineers, oversee hiring and performance, guide project execution, and maintain delivery accountability. Provide technical leadership through design reviews, prototyping, debugging, and operational incident management. Partner cross-functionally, uphold reliability and correctness standards, and model effective daily use of AI in engineering and management workflows.

Build and operate Conduit’s control plane services for provisioning, updating, repairing, and retiring customer infrastructure. Design reconciliation-based lifecycle systems, schema-driven APIs, usage metering, internal tooling, and integrations with billing and partner systems. Own contracts, versioning, reliability, asynchronous workflows, and cross-functional coordination. Participate in on-call support while improving platform maintainability and automation.

Engineering Manager leading a 4–6 person backend team responsible for core fintech services, including ledgers, decisioning, integrations, authentication, and directories. The role combines people management, hiring, coaching, execution ownership, technical design reviews, production debugging, reliability, and delivery accountability. The manager must remain technically credible in Python/Django systems, uphold high-integrity engineering standards, and use AI extensively for coding, planning, debugging, communication, and team effectiveness.

Leads and mentors an engineering team building scalable web applications for fintech and media products. Responsibilities include setting technical architecture, guiding engineering decisions, partnering with product and design stakeholders, maintaining modern web applications, improving reliability and performance, supporting delivery planning, and adopting AI-assisted development and automation. The role combines hands-on software engineering, people management, technical strategy, and cross-functional collaboration.

Build and operate Conduit's control plane services for provisioning, updating, repairing, and retiring customer infrastructure. Design schema-driven lifecycle systems, usage metering, APIs, contracts, internal tooling, and integrations with billing and partner systems. Ensure reliability through reconciliation, event-driven workflows, idempotency, retries, and eventual consistency. Own cross-team interfaces, improve maintainability, participate in on-call, and debug complex production issues across networking, performance, data integrity, and security boundaries.

Own and operate a globally distributed VPN network, AWS control plane, backend infrastructure, and infrastructure-as-code tooling. Improve reliability, security, automation, observability, CI/CD, deployment safety, and cost efficiency across multiple providers. Troubleshoot production incidents, participate in 24/7 on-call, manage networking and VPN technologies, and replace manual operational processes with tested automation. Partner with engineering and product teams while ensuring high uptime, connection success, performance, and compliance.

Own production reliability across cloud environments by defining SLOs, SLIs, error budgets, observability practices, and actionable dashboards. Troubleshoot incidents, perform root cause analysis, manage capacity planning, and improve service performance and availability. Build automation to reduce toil, support release management, maintain runbooks, and collaborate with engineering teams on operational readiness. Manage tools including Datadog, Prometheus, and Grafana while advancing monitoring, logging, metrics, tracing, and reliability practices.

Leads large-scale cluster deployment from rack delivery through production acceptance, including network bring-up, cabling verification, GPU-fabric integration, validation, burn-in, and RCCL performance testing. Manages deployment engineers across concurrent builds, improves deployment velocity, establishes operational playbooks and acceptance gates, coordinates with data center teams and vendors, and drives defect resolution across network, cabling, and hardware partners.

Lead a multi-team engineering organization responsible for delivery, technical quality, production reliability, security, privacy, and AI-native development practices. Build scalable teams and managers, establish cross-team delivery systems, partner with Product and Design, oversee observability and incident response, use engineering metrics to guide improvements, and shape hiring, leveling, and talent development.

Designs and operates secure, scalable Azure cloud infrastructure supporting AI initiatives. Builds Infrastructure as Code, CI/CD pipelines, self-service provisioning, containerized environments, observability, monitoring, and reliability practices. Establishes platform standards, evaluates emerging technologies, drives cross-team architecture decisions, mentors engineers, and ensures governance, security, compliance, data quality, and auditability. The role is fully remote with up to 10% travel.

Design, implement, and maintain MEMX’s low-latency trading network infrastructure. Configure network devices using Ansible and Python, monitor alerts, resolve incidents, perform root-cause analysis, and support customer connectivity turn-ups and tickets. Analyze and validate new products, implement secure end-user solutions with security teams, and coordinate with data center and circuit providers. The role requires expertise in distributed systems, routing protocols, multicast, network operating systems, timing protocols, packet analysis, firewalls, and optical networking.

Develop and maintain secure, highly available public and private cloud infrastructure using automation, Infrastructure as Code, Kubernetes, Puppet, and deployment pipelines. Responsibilities include cloud architecture, IAM, networking, scripting, containerization, monitoring, troubleshooting, disaster recovery, security collaboration, and on-call support. The role also mentors engineers, researches emerging technologies, and partners with DevOps and Basis teams to support cloud-based applications.

Designs, develops, tests, documents, and operates large-scale distributed software products for Allstate’s Enterprise Payments organization. Responsibilities include building Java and Spring Boot REST APIs, designing microservices, collaborating on system architecture, practicing paired programming and test-driven development, establishing CI/CD pipelines, improving performance, securing APIs, supporting production applications, and contributing to Agile planning, retrospectives, and knowledge sharing.

Own the direction and execution of critical AI development products. Build AI-assisted annotation tools, data exploration and visualization interfaces, RLHF workflow products, large-scale data processing systems, and tools for communicating complex instructions. Make autonomous technical and product decisions, lead ambiguous projects, ship rapidly, and collaborate with engineering and research leaders to support AI training and evaluation.

Design and build core fullstack systems powering Surge’s AI platform. Own frontend product decisions, backend architecture, and high-impact workflows for data collection, labeling, and evaluation. Ship scalable, reliable, intuitive tools while making autonomous technical decisions, collaborating with engineering and machine learning leaders, and maintaining high standards for usability, performance, and maintainability.

Own enterprise deployments of Qodo’s Kubernetes-based platform in customer-managed AWS, GCP, and Azure environments. Install, configure, upgrade, troubleshoot, and optimize infrastructure, writing Python or Bash diagnostics and codifying repeatable processes with Terraform and Helm. Partner directly with customer engineering teams, resolve complex networking and access issues, maintain PostgreSQL and Redis infrastructure, and improve deployment reliability through automation and documentation.