Top Senior Python Jobs in Miami, FL

Build and automate infrastructure while supporting migration to AWS. Develop internal engineering and AI-agent tooling, architect secure and highly available applications, modernize WordPress systems, troubleshoot complex environments, and provide rotating 24/7 on-call support. The role also requires designing AWS multi-account strategies, developing CI/CD pipelines, applying specification-driven development, monitoring systems, forecasting cloud costs, and supporting scalable web applications.

Design, build, and support cloud infrastructure and developer platforms across AWS and Azure. Implement IaC (Terraform), CI/CD automation (preferably GitLab), containers and Kubernetes, developer tooling (Dev Containers, Remote IDEs), cloud networking, observability, and incident response. Improve platform reliability, security, and developer experience while collaborating with application, security, and SRE teams and participating in on-call rotation.

The Senior Software Engineer will lead and support a team in developing reliable and scalable backend systems, collaborating on product development, and improving infrastructure for secure communication between services.

Lead as a customer‑embedded principal engineer to design, build, and ship production-grade solutions. Translate business needs into technical approaches, influence senior stakeholders, accelerate delivery in ambiguous environments, and transition work to FDE crews while driving long-term account impact.

As a Senior Software Engineer, you will develop new products and improve engineering infrastructure while taking ownership of product deliverables and enhancing technical architecture.

Leads the design, implementation, optimization, and support of highly scalable Azure Storage services. Responsibilities include end-to-end performance testing, benchmarking, automation, profiling, bottleneck and root-cause analysis across compute, storage, and networking layers, KPI definition, scaling recommendations, and operational incident response. The role collaborates across teams, drives project and release plans, supports reliable and secure services, and mentors engineers while participating in on-call responsibilities.

Develop and maintain Python backend services, primarily with Flask, while designing scalable architecture and integrating legacy systems. Build AWS solutions using Lambda, Cognito, SNS, SQS, and DynamoDB; maintain CI/CD pipelines and infrastructure as code with OpenTofu and Terraform. Collaborate in an Agile/Scrum environment, contribute to technical decisions and engineering standards, review code, and mentor junior developers.

Lead the architecture, development, and operation of scalable enterprise applications, integrations, AI agents, MCP servers, and AWS infrastructure. Build full-stack systems with TypeScript, React, Go, and Python; establish CI/CD, infrastructure-as-code, security, observability, and reliability standards; integrate enterprise platforms; and mentor engineers. Partner with platform and product teams to deliver production-ready, business-aligned solutions and contribute to shared developer portals, templates, and infrastructure modules.

Own the technical success of strategic customer deployments from design through production. Collaborate with customer architects, operators, and developers to optimize infrastructure, debug distributed systems and storage issues, build automation and API solutions, and translate operational needs into product improvements. Serve as the customer advocate within engineering while managing high-stakes technical challenges and deployment expectations. Travel or work onsite at customer locations up to 25%.

Designs, deploys, and maintains resilient AWS and Kubernetes infrastructure. Builds automation, GitHub Actions components, internal AI-assisted operational tools, and observability systems. Leads incident response, postmortems, and SLO/SLI management while ensuring HIPAA compliance and high availability. Collaborates across teams on architecture reviews, risk reduction, clinical safety, and reliability best practices.

Lead application migration and modernization initiatives to AWS, utilizing cloud-native practices and providing technical leadership for development teams.

Develop and architect large-scale enterprise applications as part of an agile full-stack team. Design cloud-native architectures, microservices, APIs, data platforms, and responsive front-end applications. Analyze business and technical challenges, translate stakeholder needs into technical roadmaps, and support modernization initiatives. Collaborate on solution design, coding, reviews, testing, documentation, demonstrations, and production issue resolution while championing secure, scalable, maintainable engineering practices.

Develop scalable full-stack React applications and Java Spring Boot microservices within an Agile team. Responsibilities include architecture design, technical roadmaps, cloud-native and enterprise solution development, API and data platform design, modernization of Angular applications, root-cause analysis, stakeholder communication, documentation, code reviews, and delivery of reusable production features and frameworks.

Leads infrastructure engineering strategy, modernization, project delivery, automation, and operational readiness across hybrid AWS, Azure, on-premises, networking, identity, Microsoft 365, and endpoint platforms. Establishes engineering standards, architecture patterns, security and resilience practices, Infrastructure as Code, CI/CD, monitoring, documentation, and support handoffs. Manages infrastructure projects, vendors, budgets, risks, and executive communications while leading, coaching, and developing an infrastructure engineering team.

Designs and maintains system architectures across applications, infrastructure, and platforms. Provides technical leadership, translates requirements into scalable and secure solutions, optimizes reliability and performance, supports system integration, and collaborates with development, DevOps, security, and business stakeholders. Maintains technical documentation and participates in Agile delivery and continuous improvement. Preferred experience includes federal contracts, migrations, Ansible, Linux, Red Hat, cloud platforms, DevOps, CI/CD, and secure system design.

Build and operate enterprise Amazon Connect contact centers and AI agents. Implement generative AI (Bedrock/Claude), serverless backends, CDK IaC, observability, testing, and integrations with CRMs and analytics. Own delivery from code to production, mentor engineers, and support customer-facing technical workstreams.

Designs and executes automated, API, UI, regression, smoke, and end-to-end tests for cloud-native and air-gapped federal environments. Integrates test suites with GitLab CI and Jenkins, validates security and compliance baselines, diagnoses Linux and Windows systems, and documents test plans, defects, and results. The role supports reliable deployment of cyber-physical security solutions across government and critical infrastructure environments.

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.

Design, develop, and validate RF propagation models; perform coverage, capacity, and throughput analysis for Wi‑Fi, 5G NR, and NTN; build simulation environments; conduct field surveys and measurement validation; automate RF analysis and visualize results; support network planning and cross-functional engineering collaboration.

Design and implement Wi‑Fi 6 (802.11ax) and 802.11s mesh networking software for enterprise access points. Develop HMAC components, optimize throughput/latency/airtime, integrate on NXP-based Embedded Linux platforms, maintain hostapd/wpa_supplicant/mac80211, debug with packet captures, and collaborate with RF/firmware/QA teams for product releases.

Develop and integrate mission-critical software within the TAK ecosystem, including ATAK, WinTAK, MILTAK, and TAK Server. Build CoT data pipelines, low-latency APIs, sensor and intelligence data ingestion systems, CI/CD pipelines, containerized deployments, and edge-deployed applications. Troubleshoot tactical networks and integration issues while translating defense mission requirements into scalable solutions. The role requires significant TAK ecosystem experience, multiple programming languages, security clearance, and up to 25% travel.

Owns the cloud architecture vision and roadmap for an AWS-first, multi-cloud SaaS environment. Designs secure, resilient, scalable, and cost-efficient infrastructure; leads cloud modernization; enables AI and data platforms; establishes Terraform, CI/CD, observability, security, governance, and reliability standards; and partners with engineering, security, operations, customers, auditors, and leadership. Coordinates major incident response and drives self-service infrastructure and developer experience improvements.

Lead technical direction and delivery for order management systems supporting checkout, order lifecycles, fulfillment orchestration, and partner integrations. Design reliable distributed services and workflows, make architectural tradeoffs, and improve scalability, correctness, observability, testing, and operational readiness. Partner cross-functionally to define scope and outcomes, lead incidents and remediation, manage launches, and mentor engineers. Work across Go, Ruby on Rails, PostgreSQL, AWS, Kafka, Temporal, Datadog, and AI-assisted development tools.

Build and support enterprise Amazon Connect contact center solutions using AWS, conversational AI, serverless architectures, and full-stack tooling. Responsibilities include developing AI agents and contact flows, implementing integrations and analytics, authoring infrastructure as code, building CI/CD and automated tests, monitoring production systems, supporting platform migrations, ensuring security and accessibility, collaborating directly with customers, and mentoring engineers.

Leads engineering support and architecture for enterprise-scale healthcare data platforms on Azure. Designs Databricks, Synapse, Data Factory, and Data Lake solutions; builds batch and real-time pipelines, analytical data models, BI solutions, and automated data quality frameworks. Implements machine learning and AI-assisted development, integrates low-code systems, ensures HIPAA compliance, and translates business needs into technical solutions. Mentors engineers, resolves technical issues, supports Agile delivery, and partners with healthcare business leaders on Medicare and Medicaid analytics initiatives.