The kind of person we’re looking for:
A talented, experienced software engineer with a handle on good software design, a knack for solving difficult problems in complex multi-component systems, and an interest in learning new things. Must be happy in a highly team-oriented environment where collaboration between developers and across teams is common; where giving and receiving of feedback, debate, and constructive criticism are actively encouraged.
Our company has an open, relaxed, and friendly environment where jokes and silliness are common, yet we’re serious about the work we do. We fully expect the same from you. Our organizational structure is pretty flat so you’ll be given a fair amount of latitude with, and responsibility for, your own time.
The kind of stuff you’ll be doing:
- Designing and developing new features for our ordering server stack, which is written in PHP
- Working directly with the Product team to turn ideas into software
- Extending and improving existing system services and software components
- Identifying and resolving performance bottlenecks
- Writing web pages using HTML/CSS/JavaScript
The kind of experience you’ll need:
- Experience with web application development, including HTML / CSS and JavaScript
- Comfort in both Linux and Windows
- Facility with version control systems (Git preferred)
- Excellent written and verbal communication skills
- Must be able, periodically, to work outside normal business hours (i.e. early mornings, evenings and weekends) to support critical systems
The extra stuff that would be nice:
- Working knowledge of PHP
- Knowledge of C# / .NET
- Experience with MVC frameworks, such as CodeIgniter, and front-end frameworks, such as React or Vue
- Experience with MongoDB or other document databases
- Experience with web application architecture, including background processing and queues
- Experience with functional and unit testing
- Reasonable skill with spreadsheets and diagrams
- Understanding of web technologies: HTTP, SSL, REST, JSON, XML
- Experience with Hive, HDFS, MapReduce, Flume or other fancy “Big Data” technologies
