Manage and support Linux-based infrastructure and containerized environments (Docker, Kubernetes)
Administer and optimize large-scale Elasticsearch clusters (configuration, scaling, performance tuning, troubleshooting)
Provide end-to-end system administration support across environments
Perform deep-dive troubleshooting across infrastructure, network, and observability stack components
Support ITSM processes including incident, change, problem management
Manage hardware and software lifecycle activities
Ensure platform stability, high availability, and performance optimization
Collaborate with platform engineering and SRE teams to improve observability maturity
Assist in deployment, upgrades, and operational governance of observability tools
Contribute to automation and operational efficiency improvements
Skills:
Deep knowledge of Linux systems administration
Strong hands-on experience with containerized environments (Docker)
Strong hands-on experience with Kubernetes (production environments)
Extensive system administration experience across enterprise environments
Strong exposure to ITSM processes and hardware/software lifecycle management
Superior troubleshooting and root cause analysis skills
Strong knowledge of Elasticsearch architecture, configuration, concepts, and performance tuning
Deep familiarity with networking concepts (TCP/IP, DNS, load balancing, firewalls, routing)
Tools/Software:
Docker
Kubernetes
Rancher (preferred but not mandatory)
Elasticsearch