Top Senior Python Jobs in Miami, FL

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.

The Sr. GIS Lead Developer will develop and maintain GIS applications and tools, requiring extensive experience with multiple GIS technologies and programming languages.

Lead and grow a Data Engineering team to build production data pipelines, medallion datasets, and reusable data products. Drive architecture, engineering standards, design reviews, and cross-functional delivery. Partner with Product, Analytics, Data Science, and Platform to enable governed, reliable data foundations for analytics and AI. Mentor engineers and manage multiple concurrent initiatives to deliver predictable outcomes.

The Build Engineer / DevOps role involves implementing a delivery pipeline for applications, enhancing communication among teams, managing integrations, and overseeing CI/CD processes in a .NET environment.

Lead and grow a US-based SRE team while acting as a hands-on incident commander. Drive operational excellence through incident management, reliability engineering, automation, observability (Datadog), runbook maturity, and cross-functional collaboration. Ensure compliance with healthcare/fintech standards and support a global follow-the-sun model.

Build and operate Developer Intelligence platform components to collect and correlate telemetry from CI/CD, source control, and test systems. Implement observability, embed AI/LLM tools for automated code review, validation, and incident triage, optimize SDLC workflows, remove operational bottlenecks, and mentor teammates while participating in design reviews and maintaining high-quality, performant code.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

Own and operate Orca’s FedRAMP environments across AWS, Azure, and GCP. Build infrastructure with Terraform, Kubernetes, Helm, and CI/CD; automate compliance validation, drift detection, evidence collection, and inventory management. Lead continuous monitoring, authorization artifacts, OSCAL transition, 3PAO assessments, and federal customer security engagements. Serve as the senior technical authority, maintain production health and incident response, and eventually build a U.S.-based infrastructure team while remaining hands-on.

The Senior Infrastructure Engineer will design, build, and operate crucial cloud infrastructure and developer tools, focusing on observability, reliability, and performance in a high-velocity software environment.

Lead design, development, testing, and deployment of scalable web applications using Python/Django and React. Mentor junior developers, participate in architecture and code reviews, optimize PostgreSQL, integrate AI-assisted tools, and collaborate with cross-functional teams to deliver high-quality features following CI/CD and best practices.

Design and build robust backend services and secure APIs for finance and reader applications. Implement authentication, payments, subscriptions, and finance workflows. Design Postgres/Redis schemas, integrate with financial APIs (BSE Star MF, NSE) and DRM services, and ensure compliance-friendly data handling.

Design, implement, test and deploy high-performance, large-scale software systems to support quantitative research and production portfolios. Own Linux/C++ codebases, apply system programming, concurrency, and data structures expertise, and collaborate with researchers to build scalable distributed and streaming data platforms.

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.

Design and implement high-performance networking infrastructure for large-scale AI training on Azure. Lead architecture, produce secure, maintainable code, define test strategies, use AI tools for development and automation, review code, and collaborate across teams to ensure performance, scalability, reliability, and observability.

Own and operate large-scale infrastructure for sports betting and media platforms across cloud and production environments. Lead infrastructure migrations, build Kubernetes platform tooling and CI/CD automation, improve observability and alerting, support development teams, and participate in incident response. The role requires strong distributed-systems expertise, production troubleshooting, cross-team project leadership, technical communication, and mentoring.