DataOps Engineer

Responsibilities

• Deployment and maintenance of data platform components in Kubernetes: Airflow, Spark, object storage, Iceberg catalog;
• Development and support of Helm charts, operator configuration, CI/CD pipeline construction;
• Organization of monitoring, alerting, backup and recovery; capacity planning;
• Access management and permission segregation, integration of services with corporate SSO.

Requirements

• 5+ years of infrastructure operation experience (DevOps, SRE, platform teams);
• 3+ years of production Kubernetes operation experience: Helm, operators, stateful workloads, incident diagnostics;
• Proficient in Linux, Docker; experience with IaC approach (Ansible, Terraform);
• Experience operating data stack components in Kubernetes: Airflow, Spark, Kafka, or similar;
• Experience with S3-compatible storage (Ceph, MinIO, cloud S3);
• Python for automation and development of auxiliary services;
• Experience with monitoring systems configuration (Prometheus, Grafana, or similar);
• Basic PostgreSQL administration;
• Experience with on-premise infrastructure.

Conditions

• Competitive salary — to be discussed after the interview;
• Remote work format;
• 5/2 schedule: from 09:00 to 18:00 or from 10:00 to 19:00;
• We provide a powerful work laptop;
• 100% compensation for sick leave;
• Discount on English language learning at Skyeng.