Jonathan Hartley Email & Phone Number

Rochester, Mn, Us

Rochester, Mn, Us

San Jose, California, Us

Developing free and open source software, used by members of the Python and open source communities.An example of this work has been my creation of Colorama, currently the 28th most popular Python package in the world.For work like this, I've been nominated as a Fellow of the Python Software Foundation, the criteria for which is to contribute work to the Python ecosystem which "1) shows technical excellence, 2) is an example of software engineering principles and best practices, and 3) has achieved widespread usage or acclaim."

London, England, Gb

Canonical creates Ubuntu Linux, the world’s most popular server OS. I work on the Snap Store, an app store for Linux applications, supporting software installs and secure, reliable updates for hundreds of millions of Ubuntu and other instances. This exercises the Store's API at about 5k requests/second, allowing authors to publish their applications as snaps, drive various human-visible “app store” applications, and provide secure, reliable updates to devices. I own the specs for several aspects of the store, for which I gather requirements, design, implement web APIs, and deploy & support production.

Armonk, New York, Ny, Us

Implemented IBM Cloud’s security groups feature, in Python & GoLang, converting user security group actions into iptables configuration across many instances, to provide dynamic on-instance firewalling. I also produced & presented training courses for the inexperienced team, (e.g had never written GoLang before) which were later requested across the division, especially around Cloud’s massive Python test suite, bringing hundreds of developers up to speed on how to contribute good tests, dramatically reducing time spent on creating and maintaining tests, while making the tests themselves faster and more reliable.

North Miami Beach, Florida, Us

Antidote is a digital health company, accelerating new treatments by bridging the gap between medical trials and the patients who need them.I managed the usual startup tasks: Creating services, ingesting unwieldy data sets, indexing and searching, web APIs, deploying to AWS using Ansible, as well as providing team-wide support for Python, testing and software engineering good practices.

London, England, Gb

The Enterprise Resource Planning team of this disruptive furniture retailer uses Python and OpenERP to handle the logistics of overseas manufacture, importing, retail and returns of furniture sold to customers in five countries, using an innovative distribution chain to minimize warehousing and transportation costs.When I joined, the two-person team was moribund from years of technical debt, accumulated from development done by off-site consultants. We began to address this by taking on-site ownership of the codebase, and instituting consistent source code control.I automated our deployment, turning an error-prone five-week manual process into a one-minutereliable one. I grew the team to eight, using my own written, voice-chat and face-to-face pairing exercises, and inculcated a development culture that includes thorough testing and pre-merge reviews.As a result the project now has greatly improved operational reliability, and is able to address new features that are critical to the business. They are now creating a service-oriented architecture to replace the old codebase, one functional area at a time, while still delivering new functionality and business value.

London, Not Available, Gb

Innovative e-commerce startup, at which I've acted as a Python mentor within the team, and as quality, testing, and agile evangelist, converting the team from writing occasional poor tests before I joined, to writing fast and thorough tests as standard.I led the creation of continuous integration servers, which continuously deploy our products to Amazon EC2 after every successful build, raising the bar across our team of developers and data scientists to deliver powerful features more sustainably, responsively, and predictably.I worked especially on the order management component, a traditional relational data store in MySQL, using Django for the web front end Hypermedia API. This receives orders from several of the UK's leading online retailers, chooses a competitive supplier based on current prices, and dispatches the order to them. Supplies and retailers then have a variety of means to track and update the status of the order as it is dispatched or cancelled and returned.I work with our data science team, who ingest supplier's diverse product data sets into a MongoDB instance, and then merge this down using machine learning techniques into a single in-house catalog of tens of millions of products.I've led three engineers building a search engine using Elastic Search, to allow retailers to discover products by searching the tens of millions of products in our catalog, and then launch selected subsets of those search results for sale on their own websites with a single click.