Top Python Jobs in Miami, FL

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.

Design, develop, deploy, and maintain scalable cloud applications and client-installed agents using C# and .NET. Own platform integrations, troubleshoot production issues, optimize performance and costs, improve testing and automation, and uphold software security and quality. Collaborate with product, architecture, UX, support, and customers; contribute to technical and architectural decisions; and mentor engineers. The role also requires polyglot development across integrations and familiarity with cloud security, PAM, Azure, CI/CD, and automation practices.

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.

Sets technical direction for Helix’s Experience platform and broader engineering organization. Designs and implements distributed, full-stack genomic software systems focused on patient and provider experiences. Leads complex projects from scoping through production, advances AI-assisted engineering practices, establishes quality and delivery standards, mentors technical leaders, and drives cross-functional collaboration with product, design, research, scientific, and business teams.

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.

Administer and optimize Azure Databricks environments across development, staging, and production. Manage workspaces, clusters, jobs, SQL warehouses, Unity Catalog, permissions, identity integrations, security controls, monitoring, troubleshooting, disaster recovery, and cost efficiency. Partner with data engineering, cybersecurity, compliance, and governance teams to maintain reliable, secure, auditable, and well-documented data analytics infrastructure in a regulated financial services environment.

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.

Leads complex healthcare IT implementations for Intelerad’s InteleShare platform. Designs and deploys HL7/DICOM integrations, configures and validates enterprise systems, resolves advanced application and infrastructure issues, supports go-lives, delivers end-user training, and documents workflows and architecture changes. Partners with project managers, clients, and vendors to meet integration milestones. Also supports custom reports, SQL queries, migrations, workflow improvements, and post-implementation reviews. Travel up to 10% may be required.

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.

Analyze Linux system performance, design and implement performance enhancements, productize new servers and hardware, extend performance metrics and visualizations, and build diagnostic tooling. The role requires advanced C programming, Linux kernel expertise, virtualization knowledge, hardware enablement and debugging experience, performance analysis skills, and understanding of computer architecture, concurrency, algorithms, and hardware interconnects.

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.

Build and maintain end-to-end product features across frontend, backend, and databases. Design APIs, authentication, data models, integrations, and AI-assisted workflows. Ship production-ready SaaS components, debug across the stack, improve reliability and performance, and collaborate on product and architecture decisions in an early-stage startup.

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.

Lead an engineering team building endpoint configuration management capabilities, including policies, baselines, drift detection, remediation, staged rollouts, reporting, and audit trails. Provide technical direction, manage delivery and capacity, guide architecture, coordinate with product and core engineering teams, and operate automated build, test, validation, and deployment pipelines. The role requires expertise in Node.js, JavaScript, TypeScript, Python, AWS, endpoint management, desired-state systems, intermittent connectivity, and safe configuration changes.

Build and maintain secure, full-stack cybersecurity and compliance applications for cloud and on-premise environments. Develop APIs, integrations, data ingestion and normalization, risk analytics, relationship models, role-based access, CI/CD pipelines, and containerized deployments. Support post-quantum cryptography and compliance workflows while troubleshooting production issues and applying DevSecOps practices. Collaborate across engineering, cloud, cybersecurity, and compliance teams in a highly regulated, ambiguous product environment.