Headquarters: Montreal | http://www.omsignal.com
Link to Job Offer: https://github.com/OMsignal/omsignal-job-offers/blob/master/...
OMsignal is made possible by the expertise of Smart Textile experts,
Data/Bio Scientists, Hardware, Firmware and
Software Engineers. Please note that this offer is mostly focused on
Full Stack Engineers, but we are also looking to
hire smart Data Scientists who have an interest in biodata and possibly
people who could help bridging BLE/MSP firmware and driver development.
What we do
We are a well-funded startup  working to deliver a smart biometric
shirt. You can read more about our mission on .
And for those who followed the US Open 2014, we are the technology
behind Ralph Laurent Polo Tech.
We just shipped the product to our first customers.
What we are looking for
In-depth knowledge of the technologies we use is not required, but
having strong Software Engineering foundations is
(Algorithmics, Design and Architectural Patterns, …).
Understanding that code is read much more often than it is
written is an absolute must.
You should be willing to face the upcoming challenges
(Machine Learning, Predictive algorithms,
Opening the platform/iOS SDK/API, -- who knows the rest?…).
And of course, you need to speak/write english fluently
(we need to understand each other, right ?)
The Technologies we currently use
- Backend : Scala, Akka, Akka Persistence, Spray, ReactiveMongo, SBT, Kafka, ZooKeeper
- Web : NodeJS, AngularJS
- iOS : Swift, Objective C, ReactiveCocoa, Core Bluetooth, CocoaPods`
- DevOps : Ubuntu, Docker, Ruby, Amazon AWS/EC2
- Project management: git/github
Our software engineering practices are also influenced
by Antifragile  principles
(Small is Beautiful, Less is more, Hormesis principle,
evolutionary darwinism, over-compensation ...)
And if you are on the Paleo diet, like hiking/camping or
enjoy a good raclette you will certainly find friends here!
If you have a `github`/`bitbucket` account, we would love to take
a look at what you like doing
(even if you feel ashamed of it in retrospective -- explain us
what you would improve now)