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Building the first AI that understands code

Senior Software Engineer - Data Retrieval Team

€49k – €53k • 0.095% – 0.095%
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Location: This is a remote position however can also be based from our Madrid office.
All remote applicants must be based between the San Francisco and Moscow Timezones

Compensation: 49-53,000€ + 0.195% stock options

At source{d} we are building the data platform that enables engineering leaders & teams to use source code as data for getting insights on their people, processes and technology—as well as feeding sophisticated Machine Learning on code algorithms which power the next generation of developer tooling, as assisted code review. We are an open-core company built around our Open Source projects. We have raised over eight million USD so far and as we develop our products and expand our business, we are currently looking to grow our team.

About the Role:

The Data Retrieval team is developing source{d}'s data retrieval pipelines that synchronize and provide access to any number of code repositories. Written mostly in Go, it aims to be robust, friendly, flexible and capable of running on large-scale distributed clusters over petabytes of data.
We at source{d} seek to be at the heart of any project related to source code. Thus, this core tool is used both in-house for building source{d}'s unique global scale open dataset of +60M code repositories for cutting-edge Machine Learning research, as well as used by our customers to ingest git repositories to their source code processing clusters.

Responsibilities
·Writing robust and maintainable backend code.
·Designing new features.
·Maintain our· projects and improve its stability.
·Supporting internal stakeholders.
·Supporting our open source community.

Requirements
·Strong backend coding skills in, at least, two languages.
·Good algorithmic problem-solving skills.
·Experience with performance optimization or scaling in volume of data.
·Strong Linux skills.
·Experience creating public APIs (REST, gRPC or equivalent).

Preferred Requirements
·Experience with Linux storage and networking.
·Experience with distributed systems.
·Experience with· distributed storage.

Teams at source{d}
 
Engineering consists of five different teams that represent the architecture of our product:Applications, Machine Learning, Data Processing, Language Analysis, Data Retrieval & Infrastructure.
 
We care about Open Source. Everything we develop is available for anyone to read, modify, and contribute (under Apache 2.0 or GPL3 license). Some examples of our projects are:
 
• src-d/community edition: a library for running scalable data retrieval pipelines that process any number of Git repositories for source code analysis.
•src-d/ml: a library to build and apply Machine Learning models on top of Universal Abstract Syntax Trees.
•src-d/gitbase: a SQL interface to Git repositories, written in Go.
•bblfsh/bblfshd: Babelfish server, turning code into Universal Abstract Syntax Trees (UASTs).
•src-d/go-git: a highly extensible Git implementation in pure Go.
 
If you are interested in understanding how we do code reviews, please take a look at the PRs on any of these projects. You can also learn more about our methodology here.

Culture
·source{d} is a company for developers by developers. We firmly believe in always doing what's best for the individual developer in the community. Our team consists of members who are passionate about programming. To understand our culture better, read more about it here. 
·At the moment, we are 35+ people from 10 different countries working closely together from our office in Madrid. We are more than happy to sponsor you a visa and guide you and your family through the whole process if you decide to come to work from our office, but you may also choose to work remotely. Currently, we have remote team members in USA, Portugal, Ireland, France, Belgium, Poland, Estonia and Russia. 
·For those wanting to work from one of our offices, we fully support the visa and moving process for you and your family. 
·At source{d}, we have a transparent salary policy which we feel strongly about it. Your seniority level will be determined during the last round of on-site interviews. 
·At source{d} all of the projects we work on are public on GitHub and the vast majority are open-source under licenses such as Apache 2.0 or GPL3.
·We don't just believe in open-source, we also believe in radical transparency as an organization, there we publish everything about the company at github.com/src-d/guide.

Perks
·We go to conferences and other developer events!
·Open Source Days, every second Monday, you are encouraged to work on any OSS project you choose.
·Flexible hours, set your own schedule that fits you.
·Free books. We will buy any books that help you learn & grow.
·If you choose to work from one of our offices, you will enjoy a comfortable and spacious environment.
·Annual summer and winter Christmas parties and a hackathon retreat are held in Madrid and all team members are flown over for it.





source{d} at a glance

Building the first AI that understands code

source{d} focuses on Open Source and Technology. Their company has offices in Remote. They have a small team that's between 11-50 employees. To date, source{d} has raised $6M of funding; their latest round was closed on October 2016.

You can view their website at http://www.sourced.tech or find them on Twitter and LinkedIn.

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