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Data Ops Engineer
1 year ago
Description
As an Data Operations Engineer you will be in charge of managing applications and data infrastructure in production, take overall responsibility for the quality of the data services that the company provides.
Technology stack is mainly:
Linux, Docker, Kubernetes, Ansible, Jenkins, TeamCity, Aerospike, MariaDB, Postgresql, Vertica, Hadoop ecosystem, Single Store, 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);
What are we offering?
- Competitive salary, performance-based bonuses and flexible working hours;
- Training programs, certifications, conferences including international events;
- Referral program;
- Corporate celebrations, team buildings, and fun activities;
- Free meals twice a day;
- Coaching and reviews to support your career development;
- Working for one of the top social gaming companies in the world.
Come play with us!
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