Position: DevOps Engineer for Mobile promotion platform
Company: Xenoss
Category: DevOps
Experience required: 3y
English level: upper

Project:

The product is a machine-learning-based advertising platform for running complex precisely targeted marketing campaigns, aggregating analytics, and letting advertisers oversee the big picture of their advertising efforts.
The product is one of the leading adtech platforms in the united states online media market.

Tech stack:

Java 15, AWS, Docker, Kubernetes, MongoDB, Aerospike, Clickhouse

What you will do:

You'll be working in a team of qualified developers building the platform for mobile apps and games advertising. Working out a million requests per second and petabytes of data monthly to find the best audiences to advertise to. You'll be taking part in a new project under the advisory of Xenos's architects aiming to build the solution using state-of-the-art approaches in the high-performance systems area. No legacy, just building a great new thing.

Responsibilities:

- Assist in the maintenance, updates and scaling strategy for our platform
- Diagnosing issues and proposing solutions
- Assisting in monitoring the platform
- Looking for ways to improve efficiency with new technology

Requirements:

- 4+ years experience as an SRE Engineer with experience in deploying and managing backend infrastructure.
- Experience with AWS, Linux, Kubernetes, Terraform and Docker.
- Experience deploying big data and streaming systems e.g Kafka
- Experience writing software in Java or other JVM language.
- Experience with configuration as code.
- Experience in shared software development using git and reviews.
- Good written and spoken English.

Would be a big plus:

- Previous Adtech experience
- Previous Software Development experience
- Experience in online mobile advertising 
- Degree Computer Science, Maths, Physics or other numerate subject, or relevant experience. 

What you get:

- Teams of people who love programming
- Complex technical challenges with big data/AI/high load
- Freedom to make your own engineering decisions and broad space for creativity
- Modern technology stack to work with
- Work remotely or from the office options on a flexible schedule
- Long-lasting projects
- Financial compensation for professional events and education
- Opportunity to choose the equipment you like