Top Senior Python Jobs in Miami, FL

Build and ship customer-facing transaction features end to end, including APIs, data models, pipelines, integrations, and user interfaces. Collaborate with product and design teams, contribute high-quality code, drive technical discussions, identify risks, and deliver production systems using a modern Python stack.

Build and deliver AI-powered healthcare products using React, Node.js, Python, and modern full-stack technologies. Partner with customers, designers, researchers, and product teams to understand workflow needs, design intuitive AI experiences, and own features from ideation through deployment, optimization, and scaling. The role requires strong product instincts, end-to-end software engineering ownership, and experience building production-grade applications.

Build and operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.

Leads a team responsible for simulation-based verification and validation of autonomous trucks. Defines V&V strategy, scenario coverage, test campaigns, toolchain requirements, and safety-case evidence aligned with automotive standards. Partners with product, systems, safety, engineering, tools teams, and vendors to establish release criteria, identify testing gaps, analyze results, and report risks and progress to leadership. The role also involves team development, simulation scenario management, and advancing autonomous vehicle validation practices.

Build and maintain full-stack software supporting patient-centered healthcare products. Contribute to architecture, technical standards, code reviews, design discussions, and reliable implementation. Collaborate with product managers, designers, and stakeholders, while advocating for privacy, security, and access to care. Mentor engineers, document knowledge, identify technical improvements, and help shape project direction. The role requires backend, database, cloud, and AI development-tool experience in a fully remote environment.

Leads a team of 4–6 senior network engineers while providing hands-on support for complex customer environments. Oversees daily operations, escalations, incident and major incident management, root cause analysis, preventive measures, performance reviews, on-call scheduling, and workload distribution. Troubleshoots and optimizes Cisco, Nexus, Meraki, Palo Alto, Check Point, F5, and SAN technologies, while supporting monitoring, automation, patching, firmware updates, and hardware lifecycle management.

Owns Site Reliability Engineering for a customer-facing SaaS platform across Azure and Azure Government. Responsibilities include monitoring and observability, incident response, root cause analysis, reliability improvements, automation, infrastructure as code, CI/CD, performance optimization, disaster recovery, and operational security. The engineer will define and track SLIs, SLOs, and error budgets, lead post-incident reviews, reduce operational toil, and collaborate with development teams on scalable, reliable platform operations.

Build full-stack software, backend services, APIs, frontend experiences, and shared integration capabilities supporting AI initiatives across Keeper’s products. Integrate LLMs, agents, and tool-calling workflows into secure production environments while maintaining zero-knowledge principles. Troubleshoot cross-product systems, improve reliability and observability, contribute to architecture and code reviews, automate testing and CI/CD, and collaborate with AI, product, and engineering teams.

Design, develop, test, and maintain scalable platform software and services. Collaborate with architecture and cross-functional teams, implement platform features, participate in code reviews, document technical specifications, troubleshoot issues, and optimize performance and scalability. The role requires Go development, scripting, Kubernetes, cloud-native technologies, containerization, cloud networking, and CI/CD experience.

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.

Designs and maintains automated testing frameworks for AI-powered applications, APIs, backend services, and distributed systems. Defines test strategies, acceptance criteria, evaluation metrics, tolerances, and quality gates for deterministic and non-deterministic software. Builds regression, integration, API, and end-to-end coverage; evaluates LLMs, agents, prompts, and tool-calling workflows; integrates testing into CI/CD; analyzes failures, telemetry, and logs; reduces flaky tests; and partners with AI, engineering, and product teams on continuous quality practices.

Build and maintain secure, scalable backend systems for Mindbody products. Design microservices, write tested and maintainable code, monitor applications, participate in reviews, and collaborate with Product, Design, QA, and Engineering teams. The description also includes leadership responsibilities such as managing backend development teams, coaching managers and engineers, establishing delivery processes, and driving technical and organizational improvement.

Lead and grow the Database Platform team responsible for PostgreSQL, Neo4j, and future data stores supporting NodeZero at scale. Own data architecture, schema governance, reliability, performance, SLOs, migrations, on-call maturity, and multi-tenant data practices. Partner with engineering, security research, and product teams to define data contracts and prioritize the platform roadmap. Hire and mentor engineers while establishing strong operational and engineering standards.

Leads the design and implementation of secure, compliant AWS environments, including GovCloud, multi-account landing zones, networking, containers, infrastructure as code, CI/CD, and hybrid connectivity. Translates an existing GCP platform into AWS while maintaining security-control parity and supporting FedRAMP, NIST, CMMC, and ATO requirements. The role also troubleshoots complex infrastructure issues, develops technical documentation, supports continuous monitoring and remediation, and mentors engineers while collaborating with customers and cross-functional teams.

Build and maintain Python services, REST APIs, batch jobs, shared libraries, claims workflows, and internal applications. Develop maintainable, unit-tested code; write SQL for MySQL databases; participate in design, code review, deployment, and production support; and collaborate across departments. The role also involves handling sensitive healthcare data, using AI-assisted development tools responsibly, and working in a regulated pharmacy benefits domain.

Own the durability, recoverability, performance, and security of a production PostgreSQL/RDS fleet supporting a live trading platform. Lead replication, failover, backup and restore, disaster-recovery drills, data lifecycle management, access control, encryption, and database observability. Investigate engine-level performance issues including WAL contention, replica lag, bloat, and locking. Build infrastructure and AI-assisted operational tooling while documenting runbooks and reliability decisions.

Build and operate secure, scalable multi-cloud infrastructure across AWS, GCP, and networking platforms. Develop self-service tooling, infrastructure-as-code defaults, cloud guardrails, and standardized platform patterns. Lead cross-team infrastructure initiatives, technical investigations, and operational improvements while partnering with security, compute, routing, and other infrastructure teams.

Lead enterprise B2B integration projects for strategic customers using APIs, webhooks, connectors, cloud services, and scalable integration architectures. Translate business requirements into technical designs, build and review code, manage complex projects, troubleshoot deployments, and advise customers and internal teams on integration best practices. Collaborate with product, sales, support, and developer ecosystem teams while supporting multiple customer engagements and improving professional services methodologies.

Design, build, and maintain scalable cloud infrastructure using AWS, GCP, or Azure. Implement SRE practices, monitoring, observability, capacity planning, Kubernetes and Helm deployments, CI/CD pipelines, automation, and cloud security controls. Collaborate with cross-functional teams, ensure compliance, and mentor engineers while improving reliability, availability, scalability, and performance.

Lead architecture and hands-on implementation for Akamai’s cloud compute platform, including virtualization, hypervisors, operating systems, containers, and Kubernetes infrastructure. Own system design, build proof of concepts, guide engineering teams, influence product direction and roadmaps, establish best practices, and mentor engineers while delivering highly available, fault-tolerant distributed services.

Leads photonic integrated circuit test software architecture, infrastructure improvements, test-station automation, and hardware-control software development. Oversees software migration across LabVIEW, Python, MATLAB, C#, and C++, while leading a small software team and mentoring engineers. The role supports electrical and optical testing of InP-based transceiver PICs at wafer, die, and subassembly levels, including vision systems, probe positioning, calibration, and test software revision control.

Build and operate secure, scalable AWS and Kubernetes infrastructure using Terraform and GitOps. Administer and optimize Snowflake production environments, improve query performance, manage cloud and data-platform costs, and strengthen FinOps practices. Maintain CI/CD pipelines, observability, IAM, RBAC, networking, and secrets management while aligning with HIPAA and SOC 2 requirements. Participate in on-call rotation and collaborate with engineering, data, and security teams. Use AI-assisted engineering tools safely for infrastructure, scripting, documentation, and analysis.

Deploy and operate cloud-native AI infrastructure across AWS, GCP, and Azure, including Kubernetes, networking, identity, security, multi-region, and data residency configurations. Build infrastructure as code, CI/CD, GitOps, observability, and alerting while supporting research, ML, and GPU platforms. Partner with clients and internal engineering and science teams on enterprise deployments, compliance, reliability, cost, and production hardening.

Lead a small Infrastructure and Agentic Platform team while serving as a hands-on engineering manager. Own AWS infrastructure, data platforms, security, compliance, reliability, and AI-native software development workflows. Mentor engineers, guide hiring, define the roadmap, and build tools for planning, coding, testing, monitoring, and triage. The role requires balancing AI acceleration with engineering quality, cost, security, and operational reliability in a healthcare AI environment.

Build and maintain scalable AWS infrastructure using Terraform and AWS CDK. Design highly available cloud environments, automate operational workflows with TypeScript, implement policy-as-code guardrails, optimize cloud costs, and lead disaster recovery planning and testing. The role also involves CI/CD, Kubernetes, networking, identity platforms, cross-team consensus building, project ownership, communication, and mentoring junior engineers.