Senior DATA/AI SRE Engineer

Responsibilities:

• Deep understanding of the company applications and IT infrastructure;
• Support and maintain the existing data infrastructure, ensuring reliability and efficiency;
• Collaborate in the design and implementation of new infrastructure components;
• Being a focal point for R&D teams, providing expert guidance and support;
• Lead and participate in incident investigations;
• Deliver solutions and provide support for critical IT environments, ensuring high availability and resilience;
• Coordinate with external vendors on new deployments and technical support.

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;
• Experience with VCS (preferably Git);
• Good troubleshooting skills and basic application debugging;
• Understanding/experience with message brokers (e.g. Apache Kafka);
• Experience with CI/CD systems such as Jenkins, TeamCity, ArgoCD;
• Experience in managing systems with configuration management (Ansible);
• Acquaintance with Databases.
  

Nice to have: 

• Experience with Hadoop ecosystem (HDFS, YARN, Spark, Hive);
• Experience with private clouds, on-premise data centers, on-premise kubernetes.
• Experience with DAG orchestration tools such as Kubeflow, Airflow.
• Experience in developing Kubernetes-operators (Golang).
• Experience with GPUs in production environments.