Data Ops Engineer

Required skills

As a Data Operations Engineer you will be responsible for managing applications and data infrastructure in production environments fully hosted in private clouds and on-premise data centers, taking overall responsibility for the quality of the data services that the company provides.

The technology stack is mainly: Linux, Docker, Kubernetes, Ansible, Jenkins, TeamCity, Aerospike, MariaDB, PostgreSQL, Vertica, Hadoop ecosystem, SingleStore, ELK stack, Kafka, Git.

Infrastructure: private clouds, on-premise data centers.

Responsibilities:

Deep understanding of the company applications and IT infrastructure;

Support existing data infrastructure;

Participation in the creation of new infrastructure parts, documentation development, customer onboarding;

Being a focal point for R&D teams;

Participate in investigation process (in case of any issues/incident for specific R&D team);

Providing solutions and support for critical IT environment.

Requirements:

At least 3 years of practical experience in Linux administration;

Experience with containerization and container orchestration systems (e.g. Kubernetes);

Understanding of TCP/IP network stack;

Good troubleshooting skills and basic application debugging;

Understanding/experience with message queue systems (e.g. Apache Kafka);

Acquaintance with MySQL, PostgreSQL, Aerospike (or other NoSQL solutions).

Nice to have:

Experience with VCS (preferably Git);

Experience with Hadoop ecosystem (HDFS, YARN, Spark, Hive);

Experience with CI/CD systems such as Jenkins, TeamCity;

Experience in managing systems with configuration management (Ansible).