Jonathan is available for hire
Hire JonathanJonathan Rhone
Verified Expert in Engineering
Python Developer
Miami, FL, United States
Toptal member since April 24, 2014
Bio
Jonathan is a full-stack engineer with more than ten years of experience. He is comfortable working on large-scale distributed systems and client-facing, single-page web apps. Jonathan also excels at big data and is often involved with social media-related analytics projects.
Portfolio
Galileo Technologies, Inc.
Python, FastAPI, PostgreSQL, ClickHouse, Docker, Kubernetes, TypeScript...
Streamlit
Python, TypeScript, React, Kubernetes, Go, PostgreSQL, Pulumi, gRPC...
Hone
React, Node.js, JavaScript, NGINX, MongoDB, Ansible, Amazon Web Services (AWS)...
Experience
- Python - 8 years
- Amazon Web Services (AWS) - 7 years
- JavaScript - 6 years
- NoSQL - 6 years
- PostgreSQL - 5 years
- Flask - 5 years
- Node.js - 4 years
- Kubernetes - 1 year
Work Experience
AI Engineer
2024 - 2026
Galileo Technologies, Inc.
- Contributed key back-end APIs and product features to Galileo v2, a major platform re-architecture spanning API surface, core workflows, and UI-driven capabilities.
- Built and hardened a streaming data export pipeline to support very large dataset downloads, focusing on reliability (timeouts and edge cases) and performance (batch sizing and throughput).
- Implemented and integrated LLM-as-a-Judge scorers into the core evaluation platform, enabling new agentic quality signals used in product tables and workflows.
- Drove core development of the Python and TypeScript v2 SDKs, standardizing the client and config layer, closing critical endpoint gaps, improving error and contract behavior, and shipping documents and examples that made the SDKs reliable and easy to adopt.
- Shipped a steady stream of platform improvements across APIs, data modeling, and operational robustness—prioritizing correctness, backward compatibility, and fast iteration during a high-change migration period.
Technologies: Python, FastAPI, PostgreSQL, ClickHouse, Docker, Kubernetes, TypeScript, Code Review, AI Engineering, AI Architecture, Artificial Intelligence (AI), Relational Databases, Claude Code
Software Engineer
2019 - 2021
Streamlit
- Worked on the core and cloud teams at Streamlit, the fastest way to build and share data apps.
- Collaborated in monitoring and alerting, APIs, microservices, infrastructure automation, and on-call rotation in our Kubernetes-based platform as a service, Streamlit Cloud.
- Participated in Python memory profiling, continuous integration and deployment, caching internals, and new 3rd party integrations to the open-source library on Streamlit Core.
Technologies: Python, TypeScript, React, Kubernetes, Go, PostgreSQL, Pulumi, gRPC, Google Cloud Platform (GCP), CircleCI, Cypress, SQL, SaaS, REST APIs, Architecture, Back-end, Docker, Full-stack, Microservices, CI/CD Pipelines, Software Architecture, Scalable Web Services, GitHub, Full-stack Development, Pandas, Google Kubernetes Engine (GKE), Code Review, System Design, Relational Databases
DevOps Engineer
2018 - 2019
Hone
- Provided DevOps services for Hone, the all-in-one leadership development platform for modern, distributed teams.
- Built infrastructure automation tooling to deploy and manage a Docker Swarm cluster.
- Developed the build and system for our containerized Node.js platform layer.
Technologies: React, Node.js, JavaScript, NGINX, MongoDB, Ansible, Amazon Web Services (AWS), Docker Swarm, Docker, AWS DevOps, GitHub, Docker Compose
Full-stack Engineer
2018 - 2018
Kiro
- Led the development of Kiro, a tool that helps your software engineering team eliminate project delays and multiply your efficiency and effectiveness.
- Developed the data harvester, APIs, and user-facing web app that allowed integration with various project management providers and pulling their data.
- Built infrastructure automation tooling to allow repeated deployment of our platform and data layers.
Technologies: CSS, HTML, Ansible, Amazon Web Services (AWS), React, JavaScript, Flask, Python, API Integration, APIs, REST APIs, Data Integration, Back-end, Full-stack, ETL, OAuth, JSON, GitHub, Full-stack Development, Docker Compose, Data Scraping, CSV File Processing, Proof of Concept (POC), Technical Leadership
CTO
2016 - 2018
Melody
- Built a music social network where users could create and share musical stories with their followers.
- Led a small team of developers across native and back-end development using Agile methodologies.
- Interfaced with the product and other executives to determine the strategy and drive technical direction.
- Integrated data from multiple APIs, including Facebook, Instagram, YouTube, Spotify, and Apple Music.
- Provided API development, DevOps, data harvesting, and search.
Technologies: Amazon S3 (AWS S3), Amazon EC2, Ansible, RabbitMQ, Elasticsearch, Redis, MongoDB, Flask, Python, API Integration, APIs, REST APIs, Data Integration, Data Scraping, Scraping, Back-end, Data Pipelines, ETL, JSON, GitHub, Full-stack Development, Large Data Sets, Proof of Concept (POC), Code Review, System Design, Technical Leadership
CTO
2016 - 2016
Deed
- Developed an app that connects you with volunteer opportunities in your area daily.
- Led a small team of developers across native and back-end development.
- Managed daily processes using Agile methodologies.
- Drove technical direction for the determined feature sets.
Technologies: AWS Elastic Beanstalk, MongoDB, Express.js, Node.js, REST APIs, GitHub, Code Review
Software Engineer
2016 - 2016
Stayful
- Developed the back-end platform for a hotel booking website similar to Priceline.com.
- Designed and implemented REST APIs in Flask for our iOS client.
- Built a Slack clone for a concierge chat service using modern JavaScript technology.
- Converted PSDs to pixel-perfect web pages for our admin site.
Technologies: CSS, HTML, MongoDB, React, JavaScript, Flask, Python, Back-end, Full-stack, Payment APIs, GitHub, Full-stack Development, Code Refactoring, Legacy Code, Code Review, eCommerce, Relational Databases
Director of Engineering
2014 - 2015
Grsp
- Developed the back end for a mobile app that helps people shop while in a store.
- Created a mobile web app using Meteor that we incorporated into the native iOS app for a hybrid solution.
- Managed a hybrid onsite/remote team of four developers across the back end, web, and mobile.
- Drove technical projects and provided leadership in a fast-paced environment.
- Led project management and recruiting, working directly with the CEO to ensure the proper planning, execution, and success of the product.
Technologies: JavaScript, AWS Elastic Beanstalk, PostgreSQL, MongoDB, Elasticsearch, Redis, Amazon Web Services (AWS), Node.js, API Integration, APIs, REST APIs, Data Integration, Architecture, Back-end, Full-stack, JSON, GitHub, Full-stack Development, CSV File Processing, Proof of Concept (POC), eCommerce, Technical Leadership
Back-end Engineer
2013 - 2014
Shareablee
- Refactored and extended the Django-based analytics platform layer to support additional social media sites beyond Facebook.
- Designed and implemented a distributed, fault-tolerant, and scalable data collection topology using Storm and other modern big data technologies.
- Migrated hundreds of gigabytes of data between PostgreSQL, Cassandra, and Elasticsearch, ensuring data sanity and zero data loss.
- Managed cloud infrastructure on Amazon EC2, in charge of server performance and on-call support.
- Extended the Twitter platform to allow for historical data with Gnip integration.
- Designed and developed a system allowing variable-range-windowed and time-series metrics on user and category properties.
- Created and implemented REST APIs in Django for our client-facing single-page JavaScript application.
Technologies: Elasticsearch, Cassandra, Storm, RabbitMQ, Redis, PostgreSQL, Django, Python, SQL, API Integration, Data Engineering, REST APIs, Architecture, Data Scraping, Scraping, Back-end, Full-stack, Data Pipelines, AWS DevOps, ETL, JSON, Apache Cassandra, GitHub, Full-stack Development, CSV File Processing, Code Refactoring, Large Data Sets, Legacy Code, System Design, Relational Databases
Server Engineer
2013 - 2013
Hinge
- Worked on a dating app that helps users find genuine, offline connections by utilizing the Facebook API to introduce users to friends-of-friends.
- Administered the Neo4J database for complex Facebook graph operations and "smart matching."
- Conducted JVM tuning and analysis for optimal performance, detecting memory leaks in one of our scripts and allowing for 10x future growth.
- Implemented various platform features with Django and MongoDB.
- Mentored younger engineers on cloud infrastructure and distributed systems.
Technologies: JVM, Neo4j, Django, Python, Back-end, GitHub
Data Engineer
2012 - 2012
Pict
- Developed the data framework for a web app that embeds smart watermarks into images so retail companies can share, track, and manage them for eCommerce purposes.
- Created a robust data pipeline and scalable infrastructure to scrape and index Pinterest.
- Reduced disconnected raw data about pins into network trees based on root pins, which allowed us to provide analytics on the virality and network effect of original content.
- Developed a system that used MongoDB as the bucket for processed MapReduce data, allowing users to execute time-series queries.
- Designed efficient data partitioning schemes in Amazon S3.
Technologies: Apache Hive, Python, Amazon S3 (AWS S3), MongoDB, Scrapy, Data Engineering, Data Integration, Web Scraping, Scraping, Data Pipelines, ETL, GitHub, CSV File Processing
Server Engineer
2011 - 2012
TinyCo
- Developed the back end for beautiful, fun, and engaging games that can be played anywhere on mobile devices.
- Worked with various technologies on projects related to real-time analytics and scalable social gaming architecture.
- Designed and developed a scalable click-tracking service, similar to bit.ly, for direct ad partners. It is a very high-traffic service with weekend ad spends often exceeding $1 million.
- Implemented a Cassandra-backed "saved game state" service layer to migrate our JSON blobs off MySQL.
- Created a multilayer architecture to allow for fault tolerance and independent layer scalability.
- Designed and implemented secure REST APIs for mobile clients.
- Analyzed and rewrote inefficient SQL queries. Wore many hats across DevOps, database administration (DBA), and back-end development.
Technologies: DevOps, Java, Hadoop, Vertica, Cassandra, Redis, MySQL, Django, Python, Amazon Web Services (AWS), SQL, Data Engineering, REST APIs, Architecture, Back-end, Data Pipelines, AWS DevOps, JSON, Software Architecture, Scalable Web Services, Apache Cassandra, GitHub, Large Data Sets, Relational Databases
Project History
Trading Psychology AI Coach
An AI-driven trading psychology coaching app designed to help traders develop discipline, manage emotions, and refine their decision-making process. The app leverages LLMs, computer vision, and real-time analytics to provide guided reflections and market bias detection.
Education
2004 - 2008
Bachelor of Science Degree in Computer Science
Brown University - Rhode Island
Skills
Libraries/APIs
Node.js, React, YouTube API, Spotify API, Apple Music API, Jira REST API, REST APIs, OpenAI API, Pandas, GitHub API
Tools
RabbitMQ, Git, Ansible, Docker Swarm, CircleCI, Sentry, GitHub, Docker Compose, Claude, Google Kubernetes Engine (GKE), NGINX, Claude Code
Languages
JavaScript, Python, TypeScript, SQL, Java, HTML, CSS, Go, Solidity
Frameworks
Flask, Express.js, Django, LangGraph, Storm, Hadoop, gRPC, Scrapy, Cypress, Fastify, Svelte, Tailwind CSS, Hardhat
Paradigms
REST, Unit Testing, Distributed Programming, ETL, Code Refactoring, DevOps, Microservices
Platforms
Amazon EC2, Linux, Docker, Kubernetes, Google Cloud Platform (GCP), Amazon Web Services (AWS), JVM, AWS Elastic Beanstalk
Storage
MongoDB, Amazon S3 (AWS S3), JSON, Relational Databases, Elasticsearch, PostgreSQL, Cassandra, Redis, MySQL, Apache Hive, NoSQL, Data Pipelines, Vertica, Neo4j, Data Integration, ClickHouse
Other
API Integration, APIs, Back-end, Full-stack, Full-stack Development, CSV File Processing, Proof of Concept (POC), Code Review, Data Engineering, Architecture, Web Scraping, Data Scraping, Amplitude, OAuth, CI/CD Pipelines, Software Architecture, Scalable Web Services, Apache Cassandra, FastAPI, Large Language Models (LLMs), Artificial Intelligence (AI), Generative Pre-trained Transformers (GPT), Trading, AI Agents, Large Data Sets, Legacy Code, System Design, eCommerce, Technical Leadership, AI Engineering, Pulumi, HAProxy, ECS, Ethers.js, SaaS, Scraping, AWS DevOps, Payment APIs, Chrome Extensions, Computer Vision, LangChain, AI Architecture, Retrieval-augmented Generation (RAG), Vector Databases
Collaboration That Works
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
1
Share your needs
Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2
Choose your talent
Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3
Start your risk-free talent trial
Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.
Top talent is in high demand.
Start hiring