Top Senior Python Jobs in Miami, FL

Drive SRE practices for VA enterprise healthcare platforms: automate infrastructure and CI/CD, define SLIs/SLOs, improve observability and reliability, support incident response, and ensure cloud-native, secure, compliant operations in AWS and containerized environments.

Design, develop, and maintain core platform infrastructure for an Agentic AI product. Lead foundational components, collaborate with cross-functional and ML teams, support production systems, troubleshoot performance and scalability, and cultivate developer-friendly frameworks and practices to enable large-scale distributed, AI-oriented workloads.

Lead platform reliability for a high-volume OMS: drive automation, self-healing, observability, incident management, RCA, performance tuning, and mentor support engineers while partnering with engineering and vendors.

Support and maintain AWS cloud infrastructure, automate operational tasks and deployments, troubleshoot cloud and containerized environments, contribute to scalable resilient architectures, document operational procedures, and collaborate with product and engineering teams on process improvements and automation.

Design and deliver automation and integration solutions for IT operations across hybrid datacenter and cloud environments. Build APIs and data pipelines, automate hardware and cloud provisioning, apply IT governance, use AI-assisted tools, mentor engineers, and improve observability and reporting for operational effectiveness.

Lead technical vision and architecture for a full-stack healthcare platform. Build scalable backend services, APIs, frontend apps (React/Next.js), cloud-native systems, microservices, and AI/LLM integrations. Lead cross-functional initiatives, mentor engineers, establish best practices for CI/CD, observability, security, and performance, and collaborate with Product, Design, and Data teams to deliver reliable, HIPAA-aware solutions.

Design, administer, and optimize databases for cloud-native platforms. Support production incidents, evaluate and improve schemas and replication, drive DB architecture choices across AWS/GCP, implement IaC (Terraform) and GitOps, and build repeatable database designs for availability, reliability, and performance.

Design, implement, and operate large-scale distributed NoSQL and multi-model database solutions across cloud and hybrid environments. Provide architecture, performance tuning, sharding/partitioning, disaster recovery, monitoring, automation, and migration support. Partner with engineering and business teams to define data strategies, perform security assessments, and lead implementation, troubleshooting, and on-call operations.

Lead design, build, and operate an end-to-end Identity Platform for KYC/KYB, overseeing CIP, CDD, sanctions screening, and continuous risk monitoring. Drive AI-first automation to reduce manual reviews, mentor engineers, manage reliability and incidents, and represent technical solutions to customers and regulators. Partner cross-functionally to shape roadmap and ensure regulatory compliance and extensibility across jurisdictions.

Lead full‑stack and platform engineering: define multi‑year architecture, guide squads on cloud‑native, AI‑enabled systems, ensure CI/CD, security, observability, and delivery excellence across global platforms.

Operate and optimize Azure cloud infrastructure: deploy/manage compute, networking, storage, security, automation (PowerShell/Azure CLI/Python), incident response, patching, backups/disaster recovery, cost optimization, and documentation to support application deployments.

The Senior Full Stack Developer will design and implement front-end and back-end solutions, collaborate with project managers, enhance existing systems, and stay updated on emerging technologies.

Lead backend architecture and system design for an AI-driven manufacturing planning platform. Build and scale a Node.js/Python stack with Azure Databricks, implement optimization and scheduling algorithms, establish engineering patterns, and mentor/lead a small early-stage engineering team while collaborating with product and data functions.

The Software Engineer II will develop backend services and APIs while also contributing to frontend React components, focusing on digital services for federal clients.

The role involves embedding with client teams to build AI features, manage integrations, and ensure project deliveries are met. Candidates must have extensive production software experience and be comfortable working hands-on with clients.

The Infrastructure Architect integrates the Epistemix platform into client environments, designs technical strategies, and ensures compliance with standards while managing complex deployments.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

The Senior DevOps Engineer will manage cloud infrastructure, improve CI/CD pipelines, support AI capabilities, and collaborate with software engineering teams to ensure system reliability and efficiency.

As a Site Reliability Engineer, you will design, implement, and maintain scalable infrastructure, ensure system reliability, automate processes, and collaborate with engineering teams.

The Senior Engineering Manager will lead multiple engineering teams, driving technical strategy and software development in a healthcare setting, ensuring compliance and operational excellence.

The Principal Engineer will guide architectural strategy, solve complex technical challenges, mentor engineers, and ensure compliance with healthcare standards.

The Test Automation Engineer will develop automation frameworks, integrate testing into CI/CD pipelines, analyze results, and collaborate on product requirements.

Build and scale agentic payments infrastructure including agent wallets, delegated authorization, transaction orchestration, and card rails. Design secure, compliant systems bridging onchain/offchain components, ship APIs/SDKs, integrate card networks, own features end-to-end, participate in on-call rotations, and mentor teammates to raise engineering standards.

This role involves data collection and integration for AI model training, operating cloud infrastructure, and collaborating on dataset roadmap for next-generation products.

As a Software Engineer in Data Infrastructure, you will enhance data collection and manage ingestion pipelines to support AI model training, collaborating closely with scientists.