Senior Java Engineer | Media network (offline)

Required skills

— 4+ years of software development
— Strong knowledge of Java
— Experience working with NoSQL and SQL DBMS.
— Strong algorithmic background and OOP
— Docker
— Good verbal and written English

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

As a plus

— AWS/GCP
— Kubernetes experience is a plus
— Experience working with Clickhouse

We offer

— Unlimited work-from-home option
— Flexible working hours
— 3 weeks of paid vacation and 2 weeks of paid sick-period
— Senior team and challenging projects
— Long-term employment
— Zero bureaucracy
— Covering costs of professional events and English lessons
— Opportunity to choose the equipment you like
— Various snacks, tea, coffee, and fresh fruits in the office

Responsibilities

You’ll be responsible for developing the scalable system handling tens of thousands of QPS measuring the advertising performance of the sites. You’ll be working up the system of integrating with different advertising networks including Google, Facebook, Twitter, etc.

Project description

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, Node, Typescript, AWS, Docker, MongoDB, Google BigQuery, Clickhouse.

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/