Senior Infrastructure Engineer (Data Management Platform)

Responsibilities

Maintain and deploy dozens of Kafka clusters worldwide (over 10 regions) under high load and on top of kubernetes
Maintain and deploy dozens of NATS clusters at high load and on top of Kubernetes
Maintain and deploy Clickhouse installations
Develop Kubernetes operators
Develop automation in Python
Interact with microservice developers
Automation: acl/ssl certificates/topics/export data
Build written code in CI and write helm charts for Argo CD to implement the concept of Kafka as code
Monitoring (define golden signals/response scripts for duty operators, export data for monitoring)
On-call duty

Experience with Kubernetes
Experience writing Helm charts
Excellent understanding of how Kafka and everything around it works (MM2, Kafka Connect, Cruise Control)
Experience in Python (or other languages)
Experience in developing microservices for orchestration systems (preferably kubernetes)
Good understanding of Linux
Understanding of the principles of CI/CD-systems
Experience with AWS

Nice to have:

Experience in developing Java plugins for Kafka connect
Experience with ArgoCD
Knowledge of Clickhouse
Knowledge of NATS
Experience with other streaming technologies
Experience working independently on large projects (with a cycle of up to several months). From idea to result.

Stable salary, official employment
Health insurance
Hybrid work mode and flexile schedule
Relocation package offered for candidates from other regions
Access to professional counseling services including psychological, financial, and legal support
Discount club membership
Diverse internal training programs
Partially or fully payed additional training courses
All necessary work equipment