Вакансия Senior DevOps Engineer

15 вакансий
Специализация: DevOps/Sysadmin
Уровень: Senior
Опыт: 5 лет
Уровень английского: Upper-Intermediate
Город: Минск
Режим работы: Полный день
Размер команды: 6—8
Размер компании: 500

We’re looking for a highly motivated Senior DevOps Engineer to join our DevOps team!

This person will work with the most cutting-edge cloud technologies on a massive scale, including orchestrating thousands of servers across the world while working with Petabyte scale data stores.


  • Lead the implementation of DevOps engineering practices in the organization in collaboration with the Development and Architecture teams
  • Design, create and improve infrastructure deployment and management using IaC
  • Define CI/CD practices, build and maintain pipelines used by development teams
  • Build and maintain tooling in various technologies
  • Improve availability, scalability, observability, and cost-efficiency of our current and future products
  • Support and maintain our existing cloud-based infrastructure.


  • 5+ years of experience working with large scale virtualized environments
  • 3-5 years of experience in implementing the full DevOps lifecycle (CI, CD, Monitoring, Operations) 
  • Extensive experience managing AWS cloud environments in all aspects and services (Compute, Billing, Monitoring, etc)
  • Extensive experience in Linux administration
  • Proficiency in writing scripts for automation (Python, Ruby, Bash, etc.)
  • Experience managing and migrating cloud resources using IaC approach
  • Experience in implementing Microservices approach using Kubernetes
  • Experience in Networking (VPC, CDN, VPNs, etc)
  • Extensive experience in defining and implementing CI/CD processes using GitlabCI, Jenkins, etc. 
  • Experience in managing large scale NoSQL databases such as Couchbase.


  • Extensive experience in NoSQL databases (Couchbase, Cassandra, ElasticSearch, Redis, etc.) 
  • Experience in Big Data technologies (e.g., Hadoop, Storm, Kafka, Presto, etc.)
  • Experience in the administration of large scale relational databases and data warehouses.
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