We are an infrastructure monitoring company with a number of customers that are YC alumni. Well-funded (post-B) with real recurring revenue. And hard technical problems to solve.
Jobs:
* dev: golang, front-end, back-end, "data science" engineers
* ops: site reliability engineers
* support engineers (great for people who want to hone their software development skills)
Datadog (http://www.datadoghq.com) New York, NY - Full-time python hackers (pandas, scipy, numpy, hadoop), devops engineers (aws, haproxy, cassandra, kafka, redis, etc.) and support engineers.
tl;dr We are a monitoring service, processing hundreds of billions of records every day. Hard problems, great team, paying customers, real-time python stack.
What makes us different? Datadog is a product for you, developers, webops. So when you join Datadog, you have a strong and direct voice in the making of the product.
A no-hassle, real-time display of custom metrics for developers: 1 command to run and you can watch your app in action, as long as you instrument it with a statsd client (pretty much standard these days).
So, no logs to parse to get any app metric, everything already graphed for you in real-time, quasi-nil setup.
We chose statsd because it means that you don't have to change your code to get it to production. You can then rely on pup for display (but no historical data), or on your internal tool chain (e.g. graphite et al.) or give our service (http://www.datadoghq.com) a try if you don't want to set your own stuff up.
You should hit Techcrunch and the likes when you're about to go fund-raising because the audience definitely feels like other startups and VCs. If these are are not your audience you're just wasting your time.
So does getexceptional.com (from the RoR world). I ended up writing an adapter for pylons (pylons-exceptional) because an API for this kind of stuff means one less thing to deploy and worry about.