Your journey
We are seeking an experienced Senior Infrastructure/System Engineer to help operate, maintain, and improve our on-premise infrastructure environment. You will work hands-on with Linux systems, Kubernetes, RabbitMQ, Redis, and Elasticsearch, ensuring that our platforms are secure, scalable, and highly available.
This role is ideal for a technically driven engineer who thrives in complex, production-grade infrastructure environments and enjoys optimizing systems for reliability and performance.
This position offers a hybrid work mode, combining on-site collaboration with flexible remote work.
Key Responsibilities:
- Manage and enhance Kubernetes clusters, including configuration, upgrades, scaling, and deployment automation using Helm and Docker.
- Operate, maintain, and optimize Linux-based systems in an on-premise datacenter environment.
- Manage, monitor, and troubleshoot RabbitMQ clusters, ensuring message delivery reliability, scalability, and fault tolerance.
- Administer and optimize Redis, Elasticsearch, and MySQL databases for performance, stability, and data integrity.
- Support and execute database migration and infrastructure modernization projects within the on-prem environment.
- Implement and maintain infrastructure-as-code practices using Terraform, Ansible,GitLab CI/CD and Puppet.
- Maintain and improve monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Zabbix, ELK).
- Collaborate with development and product teams to support deployment pipelines and performance optimization.
- Participate in incident response, root cause analysis, and on-call rotations to ensure system reliability.
- Ensure all systems meet security and data protection requirements.
Qualifications:
- 5+ years of hands-on experience in system or infrastructure engineering, focused on on-premise environments.
- Strong expertise in Linux system administration (Debian/Ubuntu or RHEL/CentOS).
- Deep understanding of RabbitMQ, including clustering, high availability, performance tuning, and troubleshooting.
- Experience managing and optimizing Redis and Elasticsearch in production.
- Solid practical knowledge of Kubernetes, Docker, and Helm, including cluster management, deployments, upgrades, and troubleshooting.
- Experience with infrastructure automation and configuration management using Terraform, Ansible,GitLab CI/CD and Puppet.
- Strong understanding of networking, including routing, firewalls, VPNs, and secure access.
- Experience with monitoring and observability tools (Prometheus, Grafana, Zabbix, ELK).
- Excellent problem-solving and analytical skills, with attention to performance, reliability, and maintainability.
- Familiarity with cloud providers such as AWS would be a plus.
Preferred Qualifications:
- CKA (Certified Kubernetes Administrator) certification.
- Experience managing RabbitMQ, Redis, Elasticsearch, and MySQL at scale in production environments.
- Experience working with high-availability and distributed on-prem systems.
- Familiarity with container security and system hardening best practices.
- Knowledge of disaster recovery and business continuity planning for on-prem environments.