Centicore is looking for a Big Data Platform Support Engineer. Our company is engaged in product development of our Customers' projects on a turnkey basis.

Work format: remote within Russia Salary: 320,000–350,000 rubles net Level: middle+

The project involves supporting a Data Lake platform and S3/Object Storage infrastructure. The specialist will work with Kubernetes, Big Data components, monitoring, and troubleshooting production incidents.

What is important:

• Expert Linux administration experience
• Experience supporting high-load distributed systems
• Understanding of S3/Object Storage and distributed storage architecture
• Experience supporting Kubernetes platforms
• Practical experience with MinIO or other Object Storage solutions
• Experience operating Data Lake components: Apache Spark, Airflow, Flink, Kafka, Apache Iceberg
• Understanding of replication, erasure coding, consistency, and fault tolerance
• Troubleshooting skills for CPU, RAM, network, disk I/O, latency, and throughput
• Experience with Prometheus, Grafana, alerting, and log analysis
• Ansible, Terraform, Bash, or Python
• Understanding of incident/problem management, RCA, and postmortem

It is not necessary to know the entire listed stack. If you have good experience with S3/Object Storage, Kubernetes, and some Data Lake components, we are willing to train you on the rest.

What you will be doing:

• Supporting and developing the Data Lake platform
• Maintaining the S3/Object Storage infrastructure
• Working with Kubernetes, Apache Spark, Airflow, Flink, Kafka, and Apache Iceberg
• Monitoring the platform's status, configuring monitoring and alerting
• Diagnosing and resolving production incidents
• Troubleshooting platform and storage system performance issues
• Conducting RCAs and post-incident reviews
• Automating operational tasks
• Interacting with Data Engineering and infrastructure teams

For questions and resumes, please contact via private message: recruiter contact

I look forward to hearing from you!