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.

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 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.

Build and deploy full-stack healthcare financial products used by millions of patients. Develop AI- and ML-powered features, integrate LLMs, enhance an AI billing assistant, and create patient payment solutions. Collaborate with product, design, and partner engineering teams to deliver production-ready software. Contribute to technical planning, coordinate complex development efforts, mentor peers, and maintain high standards for testing, code quality, efficiency, and technical debt management.

Leads quality assurance across multiple engineering teams by defining test strategies, quality gates, and release readiness criteria. Coordinates testing activities, manages test planning and resources, tracks quality metrics, and drives continuous improvement. Works hands-on with automated test frameworks to diagnose flaky tests, broken pipelines, and infrastructure issues. Collaborates with product, development, DevOps, and other stakeholders to resolve dependencies and risks.

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.

Supports ASIC physical design and tape-out activities by analyzing PPA metrics, developing dashboards, automating Place-and-Route data workflows, estimating power, and conducting Static Timing Analysis. Collaborates with cross-functional teams to troubleshoot issues, identify optimization opportunities, document findings, and improve design implementation. The role is a 4–8 month hybrid co-op for students pursuing electrical or computer engineering degrees.

General application for future opportunities at a remote open-source consulting company. Potential work includes software engineering, scientific computing, AI/ML, data engineering, DevOps, developer tooling, frontend development, technical writing, design, and community engagement. Quansight welcomes professional, research, educational, personal-project, and open-source experience, including early-career and internship interest.

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.

Build and maintain GTM automations, integrations, workflows, account scoring, data enrichment, and internal tools across revenue systems. Use APIs, scripting, SQL, and AI/LLM technologies to improve lead processing, product usage visibility, customer handoffs, and expansion opportunities. Monitor integrations, maintain data quality, document workflows, support RevOps users, and establish AI governance across go-to-market operations.

Graduate software engineers will develop open-source and commercial software across the Linux stack, from firmware, kernels, and drivers to desktop applications, containers, clouds, and Kubernetes. Responsibilities include writing resilient, performant code, contributing to product roadmaps, engaging with users and open-source communities, addressing customer issues, and developing secure software. The role is globally remote with twice-yearly international team sprints and emphasizes mentorship, collaboration, and continuous technical growth.

Own production infrastructure, deployments, environments, reliability, observability, cost, and enterprise security. Build AWS-based infrastructure as code, containerized CI/CD systems, and observability for long-running probabilistic AI workloads. Establish reliability practices, manage performance and costs, and prepare security and compliance foundations for enterprise customers. The role requires hands-on ownership in a small-company environment and pragmatic decisions about scaling and infrastructure investment.

Deploy software into customer operations by understanding real-world workflows, mapping data, configuring systems, and writing production code. Partner closely with Customer Success, troubleshoot rollout issues, identify opportunities to generalize customer-specific solutions, and feed deployment learnings back into the core product. The role requires customer exposure, strong communication, and hands-on Python and SQL engineering across unfamiliar systems and undocumented data.

As a Design Team Member, you will implement digital blocks to full-chip designs, focusing on physical design constraints and ensuring manufacturability by coordinating with various engineering teams.

Build end-to-end user features under senior guidance: implement REST endpoints in Node.js/TypeScript, microservices in Python, maintain PostgreSQL schemas, process background jobs with QStash/Upstash, deploy to Cloudflare Workers/Pages/R2, write tests, and collaborate with product/design on React UI components.

Supports autonomous robot deployments in hospital environments through site readiness, configuration, mapping, testing, troubleshooting, and go-live support. Investigates issues across robots, Linux systems, networks, cloud services, databases, and integrations using logs and telemetry. Works with customers and cross-functional teams, contributes to documentation and playbooks, supports escalations, and improves deployment and support processes. The role requires 20–40% travel and offers broad early-career exposure to robotics, healthcare technology, and field operations.

Build automated test harnesses, AI evaluation logic, model-based graders, regression coverage, release gates, deployment pipelines, and CI/CD workflows. Maintain build artifact publishing and dependable staging environments while improving upgrade safety, incident diagnosis, and production readiness. Participate in business-hours escalations and independently own quality or release systems end to end.

Hands-on fellowship for university students and recent graduates interested in AI, backend engineering, cloud infrastructure, and software delivery. Fellows may research technology trends, build internal tools and automation workflows, explore LLM-powered agents, prototype backend or cloud solutions, and prepare technical documentation and client-readiness materials. The role emphasizes ownership, reliability, clear technical communication, and practical project experience.

Own full-stack product features from customer discovery through delivery and iteration. Work directly with technical customers, build frontend and backend solutions, support proofs of concept and post-sales success, and convert feedback into reusable platform capabilities. Use AI coding tools daily while operating with strong product judgment, end-to-end ownership, and concise communication in a fast-moving startup environment.

Build and own end-to-end technical solutions for strategic customers, including architectures, product features, and full-scale integrations. Collaborate with customer engineers and executives, apply Python and software development expertise to solve complex problems, and communicate technical concepts clearly. The role is remote-first in the United States with regular travel to customer onsite engagements.

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.

Build full-stack tools, backend services, APIs, dashboards, and data workflows for assessing and improving AI training data and evaluations. Partner with quality and research teams to inspect agent trajectories, validate graders, measure quality, investigate workflow issues, and turn internal prototypes into reliable production platform capabilities.

Build and operate Origin’s AI observability platform across data-collection agents, backend services, infrastructure, inference pipelines, APIs, and React interfaces. Design distributed systems using AWS, EKS, ClickHouse, and Kafka for high-throughput, multi-tenant production workloads. Develop internal coding agents and define AI-native engineering practices while making decisions around storage, APIs, performance, and reliability.

The Design Verification Engineer ensures functional correctness of IPs and SoCs by developing verification environments, driving coverage closure, and automating tasks to enhance productivity.

Designs, documents, evaluates, and integrates video platform architectures and technologies. The role researches streaming, delivery, DRM, and content protection solutions; manages vendor evaluations and proofs of concept; translates product requirements into technical specifications; establishes engineering standards and service taxonomies; and validates performance, security, scalability, and reliability with product, engineering, QA, and vendor teams.