#1 of 2Java Backend Engineer - Omniata, Helsinki, Finland - visa, full time
Founded by a team of former Digital Chocolate and EA data leads, Omniata (http://www.omniata.com) integrates analytics, CRM, user engagement and A/B testing platforms into one solution. The company is well funded (http://www.creandum.com/why-creandum-invested-omniata/) & headquartered in SF. The bulk of R&D will be done in the Helsinki office which at the moment only has a small team, so this is a great opportunity to get in early and grow with the company.
As a Java backend engineer you’ll be part of the team responsible for code handling millions of events each day. You will also get the opportunity to work on a greenfield project and build the next generation of our backend infrastructure from the ground up. This work will involve analyzing the existing architecture, its load patterns and bottlenecks. Together with other team members, you will use this data to spec up and implement the new architecture.
To apply, drop a one line email with a link to your LinkedIn and GitHub profile to firstname.lastname@example.org.
If you're not interested in doing Java, but are interested in Helsinki as a place to move to, I'd be happy to introduce you to other startups I know in the area. Here's a video to give you an idea as to what it's like around here: https://www.youtube.com/watch?v=Wl7PDE7Xbds
#2 of 2Smartly.io - Helsinki, Finland
At Smartly.io we build tools for largest European eCommerce-sites and Ad Agencies to automate and optimize their Facebook advertising. We're about 18 months old, currently 24 (8 devs) people strong and growing fast. We have actual paying customers (see our frontpage), have raised funding from top investors in Finland like Lifeline Ventures (e.g. Supercell) and our team is a bunch of experienced startup veterans (founders of Startup Sauna, worked previously in SF etc.).
We're looking for full stack developers. There's plenty of interesting challenges to tackle, ranging from designing and building UI to handling large amounts of data and designing models for automatically optimizing bid levels.