At TrademarkNow we build the world’s leading trademark search and protection tools using the latest Machine Learning, AI and NLP technologies and techniques to imitate how a real lawyer would assess Trademark Likelihood of Confusion. While complex at core, we hide the AI-nerdy stuff behind a simple – yet polished – User Interface used by some of the biggest brand owners in the world.

With us you get to work with a technology stack that utilizes the best programming tools and practices, such as Functional Programming, Microservice-based Architecture and an Agile way of working. We are modern and our systems are modern with no legacy crap.

You will also get to work with Big Data. Our Information Retrieval cluster executes complex linguistic similarity searches from a total of 1 TB of in-memory trademark data using custom Data Structure and Algorithms.

Our company is growing fast and currently we are looking for a DevOps Engineer to join our office in Helsinki. In this position, you will be crucial part of our dev team helping us to move faster, deploying more often & easier and taking over the world a bit sooner.

Main responsibilities:

• automating continuous delivery pipeline of a microservice based platform
• implementing infra and application monitoring
• automating Ubuntu server setup and admin processes, backups, hardening etc
• helping with deployment architecture design

Relevant toolbox:

• Ansible
  
• Ubuntu
• Jenkins
• PostgreSQL

You are also welcomed to propose your own toolbox of choice to achieve our goals.

As part of the TrademarkNow team you will be:

• trusted to work in the best way possible and have flexible working hours
  
• given all the tools you need to do your work
• given a lot of responsibility
• learning new things and having an impact on our product

If you are interested in joining our team, please send your CV/LinkedIn profile to our Talent & People Manager Katariina Hava (katariina.hava@trademarknow.com). We will read applications as they come and will start interviewing as soon as we find potential candidates.