Hey guys - things are heating up on the job search front - I have had six or more companies contact me in the last two weeks inquiring about interviewing graduates for jobs. I'll be posting another couple of opportunities in the next day or so as soon as I get more details.
Here's one that I got this week. The company is StudioNow. They are located in Green Hills. Several years old, were purchased by AOL a few years ago and then the management bought the company back from AOL last year. Since buying it back they are now able to try to push the business along and start to innovate again. Good guys running this business.
Below I have copies the description that they have sent me of their product/platform and their technology. They are a python language, django framework shop. Django is to Python what Rails is to Ruby - so you all know the concepts but the details are different. Python is a close cousin of Ruby. If you're interested in this position, you obviously need to hit a couple of the online tutorials on python and read a bit about django (and some of the other tech discussed below). The hiring manager has hired an NSS graduate before in his prior job - and that wasn't a Ruby/Rails shop either so he knows about the process of helping one of our graduates transition to a new platform.
Take a read - if you are interested, send me email and I will connect you with the hiring manager via an introductory email.
---------- StudioNow info follows:
As for the project - the system is, effectively, a video production
platform. We maintain a list of videographers, voice over artists,
photographers, etc, and we have clients (such as Yellow Pages, Dex, etc)
who need lots of videos made in myriad places. They enter an project
order with us, our system helps find a good person in the right
location, handles the scheduling among all the participants, manages the
workflow of the video(s) for the project, all while handling the
various encoding passes (via a pretty interesting system for
auto-scaling to keep up with encoding demand). And when the project is
approved, the system handles delivering the asset to the right places,
notifying everyone involved, and paying anyone that needs to get paid.
All told, it's pretty interesting. There are also some hush-hush plans
for where we go next and how we turn the system from the one-off it is
now into a much more highly scalable, salable system for managing video
production, post-production, and networks of individuals whose talents
can be leveraged quickly and easily.
The code is all Python, much of it using the Django
framework, and deployed to AWS. We also make heavy use of task queues
via Celery, Amazon's SQS, Redis, and a few other random things here and
there.