Top Python Jobs in Miami, FL

Leads test engineering strategy for complex software projects, designing and executing manual and automated tests across UI and API layers. Builds scalable Java and Selenium automation frameworks, integrates testing into CI/CD pipelines, reviews test strategies and cases, analyzes defects and testing metrics, drives continuous improvement, and mentors QA engineers. Collaborates with development, product, and business teams to ensure comprehensive coverage, product quality, and risk reduction.

Staff Network Engineer responsible for designing, integrating, automating, and supporting complex on-premises and multi-cloud network environments. The role leads network and cloud connectivity projects, develops infrastructure-as-code and automation, troubleshoots high-severity incidents, optimizes network performance and costs, maintains engineering documentation, and mentors network engineers. Responsibilities include routing, switching, security, load balancing, observability, capacity modeling, cloud integration, and 24x7 mission-critical support.

Provides technical leadership across multiple agile teams, designing, developing, testing, and maintaining complex distributed software systems. Leads architecture and code reviews, translates product requirements into scalable solutions, removes delivery impediments, collaborates with product managers and stakeholders, and mentors engineers. The role requires backend development, cloud technologies, microservices, APIs, messaging, containerization, DevSecOps, observability, and technical strategy experience.

Provides technical leadership across multiple agile teams, designing and developing complex distributed software systems. Responsibilities include coding, system design, code and design reviews, roadmap delivery, stakeholder collaboration, mentoring engineers, and driving technical strategy, quality, scalability, security, observability, and operational excellence. The role requires extensive software engineering experience, multi-team leadership, distributed systems expertise, and proficiency with modern programming languages, cloud platforms, microservices, containers, APIs, messaging, and DevSecOps.

Design, develop, and maintain complex test automation frameworks, tools, libraries, and performance tests. Integrate automated testing into CI/CD pipelines, establish coding standards, analyze test results, and drive automation strategies. Collaborate with cross-functional teams, review code, troubleshoot framework issues, and mentor junior testing engineers. The role also supports cloud, containerization, DevSecOps, API, UI, and performance testing initiatives.

Leads multiple product engineering squads, owning delivery, architecture, technical priorities, production quality, security, scalability, staffing, hiring, retention, performance management, and team health. Partners with Product and cross-functional stakeholders to align engineering work with business goals, resolve delivery blockers, improve processes and tooling, and manage major technical decisions. Requires hands-on experience with demanding architectures and the ability to work across React, Python, AWS, and MongoDB technology stacks.

Build and operate CrewAI’s cloud and enterprise infrastructure across AWS, Azure, and GCP. Develop CI/CD pipelines, deployment automation, observability, security controls, self-hosted installation tooling, and reliability processes. Support containers, Kubernetes, databases, queues, networking, secrets, and production workloads. Participate in incident response and on-call operations while partnering with runtime and product engineering teams to improve deployment safety, scalability, and customer production environments.

As a Senior Software Engineer at Babylist, you will develop systems for a high-volume marketplace, collaborating on advertising, commerce features, and infrastructure while leading projects and improving processes with AI-driven methodologies.

Build zero-to-one products from prototype through production, working through ambiguity and partnering closely with product, design, and customers. Develop scalable systems, run experiments and technical spikes, influence product direction, and uphold reliability, performance, engineering standards, and customer experience. Mentor engineers and contribute to architecture, coding practices, and cross-functional collaboration.

Own the US production environment end to end, including AWS infrastructure, deployment automation, Kubernetes operations, CI/CD, monitoring, reliability, scaling, and incident response. Lead the growing US DevOps presence, collaborate with engineering on application investigations, and coordinate platform standards with the Tel Aviv DevOps team. The role requires strong development skills, production troubleshooting, high-availability and disaster-recovery experience, and team leadership or mentoring.

Build and improve AssetWatch’s cloud-native industrial IoT SaaS platform across frontend, backend, APIs, and databases. Develop React and AWS features, create scalable and observable solutions, support production systems, improve reliability and performance, contribute to CI/CD and automated testing, and participate in design and architecture decisions. The role also involves secure software development, accessibility compliance, infrastructure automation, peer reviews, and responsible use of AI-assisted development tools.

Lead the design and operation of a cloud-first IT environment, including SaaS administration, endpoint management, security, automation, email platforms, and AI-powered workflow agents. The role drives cross-functional IT projects, mentors team members, maintains standards and documentation, resolves complex escalations, and supports onboarding and escalated tickets. Key responsibilities include managing Google Workspace, Proofpoint, Slack, Okta, Jamf, Intune, and related systems while improving reliability, security, and operational efficiency.

Develop and support geospatial ArcGIS solutions for defense agencies by discovering customer needs, configuring applications and information models, contributing to product design, documenting workflows, and collaborating across teams. Design and execute manual and automated tests for functionality, performance, scalability, and durability; assess product quality and release readiness; maintain solutions; and present them to internal and external audiences.

Own reliability, availability, performance, and capacity for production SaaS services across Azure, AWS, and a FedRAMP High environment. Build observability, SLOs, monitoring, infrastructure automation, and remediation workflows; lead incident response, postmortems, support escalations, and disaster recovery efforts. Manage Terraform, CI/CD, Kubernetes, WAF, networking, and observability costs while improving on-call operations and collaborating with Security, Product, Support, and Development.

Designs and implements automation for spacecraft and ground station operations, monitors satellite health and telemetry, troubleshoots anomalies, executes operational procedures, coordinates orbit maneuvers, and supports satellite integration. The role collaborates across engineering teams to maintain satellite services and fleet performance.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

Designs and owns CI/CD, cloud infrastructure, deployment automation, security gates, and observability across multiple application teams. Establishes shared DevSecOps standards, validates AI-generated pipelines and infrastructure, supports production operations and on-call response, and guides teams on secure, reliable software delivery. The role requires production experience with AWS or Azure, Kubernetes, containers, serverless, infrastructure as code, modern programming languages, security automation, compliance, and application monitoring.

Own full-stack features end to end, including system design, implementation direction, testing, deployment, production operations, and incident response. Use agentic AI to generate code, tests, and reviews while validating quality and security. Build production APIs, data models, authentication, schemas, migrations, and scalable SQL. Collaborate with Product, Design, and DevOps, and apply secure coding practices. Bonus experience includes RAG, LLM evaluation and observability, or TypeScript frontend development.

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.

Develop productionized machine learning workflows, cloud infrastructure, distributed data-processing pipelines, and a multi-tenant data lake for autonomous-driving AI. Build internal APIs, CI/CD processes, and developer productivity tools while collaborating with research engineers. The role requires strong software engineering, DevOps, infrastructure-as-code, microservices, networking, and data infrastructure expertise.

Design and implement motion-planning software for autonomous vehicles, including behavior planning, trajectory generation, safety constraints, and real-time embedded performance. Integrate planning with perception, prediction, localization, and control systems. Validate solutions through simulation, closed-course trials, and on-road testing while addressing complex edge cases and collaborating with vendors, AI teams, and customers.

Build and own production software systems spanning embedded systems, real-time control, cloud services, and data pipelines. Responsibilities include architecture, coding, testing, reliability engineering, observability, incident response, technical design reviews, cross-functional hardware collaboration, hiring, and mentoring. The role requires strong systems fundamentals, distributed systems experience, debugging ability, and proficiency in at least one major programming language.

Manage and develop an engineering team while owning delivery, hiring, performance, technical judgment, and escalation response. Stay hands-on with coding and architecture, use coding agents effectively, improve engineering processes, and help engineers build stronger skills in scoping, estimation, decision-making, and ownership. Balance roadmap priorities with customer commitments and turn recurring issues into lasting product improvements across HumanSignal’s AI data and annotation platforms.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.

Designs, builds, and maintains scalable backend services, APIs, databases, data flows, and infrastructure. Leads complex features from design through deployment while improving performance, observability, security, testing, and reliability. Integrates third-party platforms, supports cloud infrastructure and CI/CD practices, and mentors engineers through technical guidance and knowledge sharing.