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DevOps engineer

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Requirements:

— At least 3 years of operations engineering experience in a team environment
— Proficiency in writing scripts in Python and Bash
— Extensive knowledge of Linux
— Experience in deployment automation/configurations
— Experience with Docker, Kubernetes
— Experience with AWS or Google Cloud
— Good verbal and written English communication skills (Intermediate level or higher)

Do not hesitate to apply if you are missing some specific experience. We will be happy to help you with gaining one.

— Experience working with Ad-tech projects is a big plus!

What we offer:

— Unlimited WFH and flexible working hours
— Highly skilled & friendly team with an excellent work ethic
— Paid vacation and sick-period
— Long term employment
— Covering costs of professional events and English lessons
— Business trips
— Opportunity to choose the equipment you like (MacBooks)
— Various snacks, fresh fruits, nuts in the office that’s open 24/7 (in case you’d like to hit up)
— Zero bureaucracy and other bullshit

Responsibilities:

You’ll be responsible for maintaining a cloud-deployed (AWS and Google Cloud) ad-tech project.
You’ll be defining and maintaining development environment automation for the team of developers (setting up CD/CI processes and configurations, and deployment automation), maintaining test and production environments.
The area of your responsibility will be ensuring minimal cloud infrastructure costs.

About the project:

The solution we are working on is a complex distributed software mechanism controlling advertising campaigns running on leading entertainment media products like Rovio, EA, Spil Games, and many other gaming, entertainment, and lifestyle sites.
The system enables the biggest advertisers across the world to run highly targeted ads, personalize ad communication, predict user consumption behavior, make deep multi-dimensional analytics. We serve over 2 billion ads per month across 400 publisher sites.

Tech stack includes Java, Scala, Typescript, AWS, Docker, MongoDB, Google BigQuery

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