Top Senior Python Jobs in Miami, FL

Build and evolve reliability practices for a serverless AWS banking platform. Define SLIs, SLOs, and error budgets; design observability; establish incident response and on-call processes; automate detection and remediation; improve GitHub Actions CI/CD; support resilient architecture, progressive delivery, disaster recovery, operational readiness, compliance, and team mentoring.

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.

Lead the architecture and delivery of large-scale React and React Native applications across web and mobile. Establish frontend standards for performance, accessibility, reliability, and maintainability; build shared component libraries and design systems; resolve complex frontend and cross-stack issues; partner with product, design, and backend teams; and mentor engineers while shaping technical strategy across multiple product areas.

Lead architecture and delivery of complex web and mobile product initiatives. Build React and React Native applications, scalable components, APIs, data models, and shared libraries. Establish engineering standards, improve testing, performance, security, and reliability, and optimize database queries. Mentor engineers, guide technical decisions, and partner with leadership and stakeholders to shape the product roadmap. This is a fully remote role supporting veterinary clinic operations and supply-chain workflows.

Build and maintain features across Vetcove’s web, backend, and mobile platforms. Responsibilities include developing React and React Native applications, creating reusable components, improving test coverage, designing performant and secure data models, optimizing database queries, writing API endpoints, and collaborating with engineering, product, and company leadership in a fully remote environment.

Owns the infrastructure service-request intake, prioritization, backlog, and workflow governance in JIRA. Coordinates patching, security updates, maintenance windows, change management, incident escalation, post-mortems, and audit readiness. Manages and develops Cloud Platform Engineers, oversees staffing and capacity, assesses technical risks, and partners with InfoSec and stakeholders. Drives automation, observability, reliability improvements, and AI-assisted operational tooling toward a 99.99% uptime target.

Lead the architecture and operation of Horizon3’s developer experience platform, including local development, CI/CD, build systems, container images, artifact promotion, release workflows, security gates, and delivery observability. Build reusable tooling and paved paths, establish secure AI-assisted development practices, improve reproducibility and supply-chain security, and mentor engineers. Partner across Platform, Security, QA, and application teams to drive adoption, reliability, delivery speed, and continuous improvement.

Designs, automates, and supports enterprise DevOps platforms across on-premises and hybrid cloud environments. Responsibilities include CI/CD, infrastructure as code, Linux administration, Kubernetes and container platforms, Azure and GCP operations, AI/ML infrastructure support, monitoring, reliability engineering, production support, security, disaster recovery, and cloud modernization. The role partners with infrastructure, development, security, architecture, and operations teams while participating in incident management and on-call rotations.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Designs and directs development of scalable software systems using AI-assisted engineering practices. Owns architecture, APIs, data models, testing strategy, security, reliability, observability, deployment, and production operations. Decomposes work for AI agents, validates generated code and tests, leads incident response, and coaches engineers on effective AI-enabled development. Requires full-stack experience, modern server-side development, event-driven systems, cloud infrastructure, regulated-data security, and production use of agentic AI.

Lead and mentor a software engineering team, provide technical guidance, drive architecture and engineering excellence, manage sprint execution, collaborate on product roadmaps, ensure scalable and reliable systems, foster continuous improvement, and support recruiting and onboarding. The role requires balancing technical strategy with business impact while developing high-performing engineers.

Develop and support high-volume, mission-critical web applications across the full software development lifecycle. Build with TypeScript, JavaScript, Next.js, and SQL; deploy and operate applications in Microsoft Azure; use AI-assisted development tools; troubleshoot complex technical issues; make architectural decisions; and mentor other engineers. The role requires multi-tier system development, database optimization, Agile collaboration, and proactive delivery of reliable, high-quality software.

Lead the design and operation of AWS and Kubernetes platforms, infrastructure automation, CI/CD, observability, security, and developer self-service capabilities. Drive cross-team platform initiatives, establish technical standards, improve reliability and operational practices, participate in incident response, mentor engineers, and guide architecture for regional and ephemeral environments.

Own and evolve enterprise AWS infrastructure, governance, security, identity, networking, and shared platforms. Build and operate full-stack services in TypeScript and Python, automate infrastructure and delivery, improve monitoring and reliability, manage incidents and on-call operations, and establish audit-ready controls. Partner across engineering and IT, improve production readiness, and mentor engineers while delivering secure, scalable, low-blast-radius systems.

Build, own, deploy, and operate backend services and APIs powering Mozilla products. Responsibilities include backend development, cloud infrastructure collaboration, monitoring and alerting, production support, incident response, releases, security and privacy reviews, API design, code reviews, and mentoring. The role requires end-to-end service ownership, on-call participation, and maintaining reliable production systems.

Build and own backend services for Mozilla’s Ecosystem Services, including server-side logic, APIs, distributed systems, cloud infrastructure, monitoring, deployments, and production reliability. Participate in on-call support, incident response, releases, security and privacy reviews, code reviews, and cross-functional collaboration. Mentor junior engineers and drive improvements in quality, testing, and engineering processes.

Build API-first backend services for workflow orchestration, data ingestion, evaluation, and results management, along with analyst-facing web consoles. Implement identity federation, authentication, authorization, relational data models, automated testing, and CI pipelines. Create API documentation, SDK examples, reference implementations, notebooks, and integration resources. Collaborate with security, infrastructure, platform, and ML engineers while supporting external partners and Government users integrating with published interfaces.

Lead and develop an SRE team responsible for the reliability, availability, performance, automation, and observability of Linux-based digital commerce infrastructure. Set SRE and DevOps strategy, modernize Kubernetes and CI/CD practices, establish automation and infrastructure-as-code standards, oversee incident response, and drive SLIs, SLOs, and error budgets. Partner across engineering, architecture, infrastructure, security, networking, and product teams while recruiting, mentoring, and developing SRE talent.

Own the design, development, and automation of Coinbase’s routing infrastructure connecting services to Kubernetes backends. Build scalable capabilities using Envoy, Istio, Ambient Mesh, and SPIFFE; improve routing latency, reliability, and performance; enhance developer tooling with responsible AI; and collaborate with security, reliability, and observability teams to resolve complex distributed-systems issues.

Design, build, and operate scalable infrastructure and CI/CD/IaC systems. Implement observability (monitoring, logging, alerting), automate reliability improvements, mentor engineers, collaborate on incident response, and participate in on-call rotations to maintain Akamai Cloud services.

Own and evolve Jira, Aha!, and related product and engineering platforms. Configure workflows, permissions, schemas, dashboards, automations, integrations, and reporting while improving governance, data quality, reliability, and adoption. Partner with Product, Engineering, TPM, Finance, and IT teams to translate business needs into scalable systems. Lead implementations, migrations, platform lifecycle management, troubleshooting, documentation, training, and tooling evaluations.

Lead design, implementation, and maintenance of system architectures across applications, infrastructure, and cloud platforms for federal IT modernization. Provide technical leadership, ensure performance, reliability, and integration, produce documentation, and collaborate with DevOps, security, and stakeholders within Agile teams.

Architect, deploy, and operate highly available multi-cloud infrastructure across AWS and Azure. Manage Kubernetes, Linux systems, databases, caching platforms, CI/CD pipelines, infrastructure as code, observability, security, incident response, and performance optimization. The role also requires automation with Python and Bash, comprehensive documentation, client collaboration, and participation in a 24/7 on-call rotation.

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.

Build and scale full-stack applications, backend services, APIs, infrastructure, and user experiences supporting millions of users. Design reliable, high-performance systems; partner with Product, Design, and Data; own projects through deployment and optimization; improve observability and developer productivity; and support AI adoption through automation and AI-powered workflows.