Top Python Jobs in Miami, FL

Design, simulate, and test RF circuits for cellular base stations, including transmitters, receivers, ADCs, and power supplies. Document designs, participate in reviews, support subcontractors, collaborate with engineering teams, and use RF electromagnetic and analytical simulation tools. The role requires effective planning, communication, technical problem-solving, and occasional international travel.

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.

Implements, configures, deploys, and supports software platforms and HL7 interfaces. Troubleshoots operating systems, databases, VPN connectivity, and application integrations; manages customer support tickets, SLAs, documentation, and implementation timelines. Advises customers on technical requirements, collaborates across teams to improve reliability, and participates in an on-call rotation.

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 products and features end to end, from user research and ideation through MVP launches, iteration, pricing, and ongoing success. Build full-stack experiences, collaborate with design, support customers, resolve production issues, participate in on-call rotations, and write documentation. The role emphasizes autonomous product development, agent-facing software, AI-native products, and rapid shipping.

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.

Design and build high-performance AI infrastructure, optimizing and maintaining production systems while collaborating with researchers and analysts.

Architect and operate scalable, secure SaaS infrastructure supporting a cyber-incident response platform. Build CI/CD pipelines, manage multi-cloud infrastructure with Terraform, operate Kubernetes environments, improve reliability and observability, and maintain data pipelines, data lakes, databases, secrets management, and deployment automation. Ensure high availability and operational resilience during active customer cyberattacks.

Lead a hands-on software engineering effort for Zeta’s real-time events pipeline. Design, build, deploy, and operate high-volume event ingestion, processing, and delivery systems. Own architecture, reliability, observability, performance, cost, data quality, and on-call improvements. Collaborate with Product, Data, and downstream platform teams, define stable interfaces and SLAs, evaluate technologies, lead production launches, and mentor engineers through design and code reviews.

Designs and leads scalable contact center architectures using Zendesk, Amazon Connect, and AWS. Defines modernization strategies, oversees integrations, governance, security, and compliance, and mentors presales specialists. Supports discovery, solution design, demonstrations, proofs of concept, presentations, and technical documentation. Collaborates with business leaders, IT teams, vendors, and partners while driving innovation in omnichannel, AI-enabled customer service technologies.

Develops and executes satellite integration, verification, and validation activities across Flatsat, HWIL, SWIL, and simulator environments. Responsibilities include requirements traceability, test planning, automated TCL scripting for TERMA CCS5, formal test conduction, troubleshooting, data analysis, and test reporting. Supports satellite architecture, CONOPS, interface documentation, and requirements development while coordinating multidisciplinary engineering activities.

Designs and executes software validation and automated testing for integrated enterprise systems, including PLM and ERP platforms. Develops test cases and scripts, performs functional and regression testing, tracks defects, analyzes results, and maintains requirements-to-test traceability. Produces Objective Quality Evidence for DoD certification and accreditation, collaborates with technical and business teams, and improves testing processes. The role is remote and may require up to 5% travel.

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.

Provides senior engineering support for enterprise infrastructure and ServiceNow-enabled platforms across hybrid cloud, compute, storage, networking, databases, and automation. Leads complex deployments, configuration, monitoring, troubleshooting, security remediation, architecture reviews, and technical workstreams. Uses Azure, PowerShell, Python, Terraform, SQL, and observability tools to improve reliability and scalability. Collaborates with cross-functional teams, supports compliance and change management, mentors engineers, contributes to strategic roadmaps, and participates in on-call support.

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.

Lead a team of engineers delivering product content and capabilities, including scripts, data sources, application catalogs, updates, vulnerability data, and reports. Own scalable automation pipelines for content generation, validation, and deployment; guide technical decisions from design through production; improve reliability and efficiency; and apply AI to content creation and delivery. Requires strong software engineering fundamentals, production systems experience, Node.js, JavaScript, TypeScript, Python, and AWS expertise.

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.

Develop, test, and ship features for data platforms, pipelines, contributor tools, quality assurance systems, and client-facing infrastructure. Collaborate with senior engineers, participate in code reviews, debug issues, and improve automation supporting large-scale AI training data workflows. The role offers hands-on experience with production engineering, data systems, and AI-adjacent technologies in a fully remote environment.

Designs, develops, and maintains automated UI, API, integration, regression, performance, and security testing frameworks for enterprise applications, including ServiceNow and Salesforce. Integrates automated tests with CI/CD pipelines, validates data using SQL and APIs, manages test environments and tooling, investigates failures, reports defects, and collaborates with engineering teams on root-cause analysis. The role also establishes automation standards, metrics, quality gates, and provides technical guidance to QA team members.