Top Entry Level Python Jobs in Miami, FL

Develop high-performance research platforms and tools that bring trading strategies to life. Work in small teams to design, build, and deploy resilient systems using distributed computing, NLP, and machine learning to solve large-data problems in finance.

Develop and launch scalable full-stack search systems using JavaScript, TypeScript, Python, or Kotlin. Collaborate with engineers and stakeholders, balance delivery speed with system reliability, debug code, participate in code reviews, write tested and extensible software, and contribute to team growth and communication.

Design and implement backend APIs, microservices, and checkout platform components for Affirm’s financial products. Own system health, improve performance and reliability, collaborate across engineering teams, and contribute to technical standards, tooling, and processes. The role requires developing, testing, and shipping high-quality software at scale while making customer-centric technical decisions.

Designs and operates cloud and internal infrastructure, identity and access management, SaaS platforms, and automation systems. The role improves reliability, security, compliance, and operational efficiency through IAM governance, infrastructure-as-code, CI/CD, vulnerability management, patching, system hardening, monitoring, and troubleshooting. It also partners with Security, HR, and Engineering on onboarding, integrations, and audit readiness.

Designs and delivers Amazon Connect and Salesforce contact center solutions for enterprise customers. Leads discovery, technology assessments, ROI development, architecture, integrations, and cloud deployment discussions. Translates business requirements into contact center designs, oversees technical teams, manages stakeholder communications, and ensures projects meet quality, budget, and timeline goals. Provides customer training and documentation while guiding cloud infrastructure, automation, monitoring, security, and compliance practices.

As an AWS Solution Architect, you'll design and implement Amazon Connect solutions, improve customer processes, lead technical teams, and educate clients on AWS value.

Designs, automates, and improves the reliability, availability, and recoverability of on-premises, hybrid, and cloud technology platforms. Builds infrastructure-as-code, recovery workflows, self-healing systems, monitoring, and validation processes; defines resiliency objectives; conducts disaster recovery tests and chaos experiments; and facilitates architecture reviews and recovery exercises. Partners across engineering, infrastructure, cloud, application, and business teams while maintaining regulatory-ready documentation.

Supports software quality assurance and test automation for a government program. Develops automated unit, integration, and end-to-end tests; executes manual testing; documents results; manages defects in JIRA; maintains traceability and testing reports; performs accessibility, performance, disaster recovery, and IV&V testing; and participates in Agile ceremonies and DevSecOps quality gates.

Build and support reliable dashboards for AI infrastructure and financial models, including TCO, tokenomics, and compute capital models. Responsibilities include implementing features, loading model releases, validating data, developing accuracy checks, collaborating with analysts, creating charts and explanations, answering client questions, and contributing to research newsletters. The role requires strong Python or TypeScript skills, software engineering experience, numerical accuracy, and effective use of AI coding agents.

Administer AWS and GCP cloud infrastructure, identity and directory services, Microsoft 365, Google Workspace, endpoint management, and security platforms. Handle escalated incidents, participate in on-call rotation, support SOC 2 compliance and vulnerability remediation, and automate operational processes. Collaborate with security and support teams to maintain reliable, secure production environments.

Remote contract CAD expert role supporting AI training for manufacturing workflows. Responsibilities include reviewing and refining AI-generated manufacturing content, providing CAD, CAM, and CNC process feedback, and developing evaluation rubrics. Candidates need hands-on CAD experience, strong communication skills, and coding-agent experience with Python. Work is flexible at 15–20 hours per week, with output-based compensation and immediate availability preferred.

Build and maintain core products and collaborate on larger consulting projects using TypeScript, Python, FastAPI, Next.js, GCP, and generative AI frameworks. The role involves hands-on software development within a rapidly growing, remote team serving Saudi Arabia and the GCC.

Provide expert feedback on CAD, CAM, CNC, and manufacturing workflows to train and evaluate AI systems. Review and refine AI-generated manufacturing recommendations, develop process-accuracy and efficiency rubrics, and validate outputs. The role requires hands-on CAD expertise, strong communication, and coding-agent experience with Python. Work is fully remote, contract-based, flexible at 15–20 hours per week, and paid per completed task.

Operate and scale PostHog’s large ClickHouse clusters, including provisioning, infrastructure automation, node and instance performance optimization, hardware evaluation, and query performance tooling. Build systems using Terraform, Ansible, Kubernetes, Python, AWS, and ZooKeeper to manage more than 100 PB of data and support trillions of annual events.

Build and ship production features across backend services, APIs, frontend systems, AI-native healthcare infrastructure, EMR, and billing platforms. Collaborate with engineers, product managers, and designers; write clean, tested code; participate in code reviews; and own projects from concept through production.

Own the full technology stack for an AI food assistant, taking an iPhone app from internal testing through beta and scale. Responsibilities include backend and mobile development, architecture, infrastructure, deployments, monitoring, AI feature reliability, catalog and personalization systems, creator and internal tooling, App Store releases, security, and engineering standards. The role also involves product decisions, household research, technical leadership, and end-to-end ownership in a founding-team environment.

Designs and maintains large-scale production infrastructure across Linux, Windows, VMware, OpenStack, Docker, and Kubernetes environments. The role administers bare-metal servers and virtual machines, develops automation using Python, Go, and PowerShell, troubleshoots hardware and virtualization issues, and supports incident response through an on-call rotation. Responsibilities also include technical architecture, networking, configuration management, documentation, post-mortems, and applying AI tools to improve operational workflows.

Develop and maintain high-reliability, high-throughput backend systems for managing security certificates and configurations. Responsibilities include designing scalable systems, building features, optimizing performance, working with relational and NoSQL databases, and collaborating with testing and SQA teams on deployments. The role requires project-based experience with Java, Spring, Spring Boot, Angular, Terraform, SQL, Linux/Unix, and database technologies.

Build and maintain scalable production infrastructure, CI/CD pipelines, and cloud platform capabilities. Design infrastructure architecture, automate manual processes, manage Kubernetes-based environments, scale databases and messaging systems, and monitor production services. The role partners with engineering teams across the product lifecycle and uses infrastructure as code, Helm, cloud technologies, and open-source tools to improve reliability, delivery, and developer experience.

Design, build, operate, and maintain large-scale distributed telemetry systems for Grafana Cloud and open-source projects. Deliver features from concept through production, improve reliability and performance, participate in design reviews and on-call rotations, contribute to roadmap decisions, and collaborate remotely with engineers. The role focuses on Go-based cloud services running on Kubernetes across AWS, GCP, and Azure, with observability, DevOps, and customer-focused software development responsibilities.

Develop and launch scalable full-stack Quora features using Python and React. Collaborate with designers, product managers, engineers, and data scientists to improve user engagement, moderation, creator experiences, and AI-powered content. Use experimentation and data to guide product iterations, contribute across the development lifecycle, and participate in on-call support for reliable service delivery.

Develop and maintain automated test scripts, execute manual and automated testing, analyze results, identify and track defects, and perform regression testing. Collaborate with developers and distributed teams throughout the software development lifecycle to ensure application quality and testability. The role also involves using and validating approved AI-assisted tools for coding, testing, debugging, documentation, and technical research.

Operate and improve large-scale NVIDIA GPU clusters across bare-metal and rented capacity. Build automation for provisioning, health checks, remediation, monitoring, scheduling, and capacity management. Own Linux images, drivers, CUDA, containers, networking, storage, and Slurm. Diagnose performance and hardware issues, evaluate GPU providers, support ML training workloads, and maintain secure infrastructure. The role also includes hardware installation, datacenter coordination, and vendor management.

Develop and evaluate coding tasks for AI systems, including bug fixes, feature development, refactoring, optimization, reproducible environments, reference solutions, automated testing, and deterministic evaluation. The role also involves debugging complex codebases, reviewing contributions, documenting technical decisions, and refining evaluation criteria. Candidates should have strong software engineering fundamentals, backend or API development experience, open-source contributions, and proficiency in at least one listed programming language.

Entry-level robotics engineering development role focused on designing and testing electrical components for medical devices. Responsibilities include prototyping, bench testing, electrical system analysis, requirements evaluation, engineering documentation, design controls, risk management, and collaboration with R&D, Quality, Manufacturing, Regulatory, Clinical, Marketing, and Project Management teams. The 20-month onsite program includes functional rotations, technical training, leadership exposure, and mentorship.