Key Responsibilities

Manage and support Linux-based infrastructure and containerized environments (Docker, Kubernetes).
Administer and optimize large-scale Elasticsearch clusters, including configuration, scaling, performance tuning, and troubleshooting.
Provide end-to-end system administration support across enterprise environments.
Perform deep-dive troubleshooting across infrastructure, networking, and observability stack components.
Support ITSM processes including incident, change, and problem management.
Manage hardware and software lifecycle activities.
Ensure platform stability, high availability, and performance optimization.
Collaborate with Platform Engineering and SRE teams to enhance observability maturity.
Assist in deployment, upgrades, and governance of observability tools.
Contribute to automation initiatives and operational efficiency improvements.

Required Qualifications

Strong expertise in Linux system administration.
Hands-on experience with:
Docker
Kubernetes (production environments)
Elasticsearch (architecture, configuration, tuning, troubleshooting)
Strong understanding of networking concepts (TCP/IP, DNS, load balancing, firewalls, routing).
Experience working within ITSM frameworks and enterprise environments.
Excellent troubleshooting and root cause analysis skills.
Experience with Rancher, OpenSearch, OpenTelemetry.
Knowledge of observability concepts such as Distributed Tracing, Metrics, Monitoring, and Logging.
Experience managing large-scale Elasticsearch deployments.
Hands-on experience with tools:
Jaeger
Kibana
Grafana
Prometheus
Splunk
Dynatrace
Kafka

Observability Engineer