DevOps engineer | Media Network (offline)

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: Java, Scala, Typescript, AWS, Docker, MongoDB, Google BigQuery

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
— Fluent English, experience working directly with US/European clients.

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

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

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

About Xenoss

Xenoss is software development lab focused on building data-driven solution for marketing and advertising industry.

We build audience statistics trackers, user behaviour prediction systems, user journey optimization solutions, DMP/DSP/SSP systems, location data processing systems, email automation systems, segment builders, etc.

We work with really big data. We store, process, transform, and search on tons of fuzzy structured data sets using NoSQL, in-memory storages, Hadoop, distributed storing, complex data sharding, replication algorithms, etc.

We face with strong algorithmic challenges, like tree and graph processing, search algorithms, multidimensional optimization tasks, machine learning algorithms etc.

Our clients are top marketing and advertising agencies, AdTech vendors, MarTech SaaS companies, banks, mobile carriers. The software we delivered is now the tech basis of multi-billion businesses.

We passionate about efficient and reliable software.

Company website:
https://xenoss.io/

DOU company page:
https://jobs.dou.ua/companies/xenoss/