Site Reliability Engineer

Description:

• Manage and maintain Red Hat Enterprise Linux (RHEL) systems across development, testing, and production environments.
• Design, implement, and operate OpenShift container platforms, including bare-metal deployments.
• Design and optimize Logstash and rsyslog pipelines for ingesting logs from infrastructure devices (network, storage, servers).
• Onboard diverse infrastructure systems into ELK stack and maintain device-specific parsing configurations.
• Develop and manage observability dashboards using Kibana implement alerting for critical infrastructure events.
• Automate configuration, patching, provisioning, and monitoring tasks using Ansible, Python, and shell scripts.
• Integrate log pipelines and monitoring tools with ITSM systems (e.g., ServiceNow) for automated incident handling.
• Maintain documentation, runbooks, and SOPs related to platform setup, observability, and log onboarding.
• Participate in 24/7 on-call rotation and support incident response and root cause analysis.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or related field.

• Min 2 years of hands-on experience in Linux system administration, with expertise in RHEL and OpenShift.

• Proven experience with the ELK Stack (Elasticsearch, Logstash, Kibana) in high-volume environments.

• Strong scripting skills in Python, Bash, or similar languages.

• Experience onboarding logs from infrastructure devices and integrating with ITSM platforms.

• Proficient in using Red Hat Satellite and configuration management tools (e.g., Ansible, Puppet).

• Familiarity with infrastructure concepts and components such as network, storage, firewall, virtualization and cloud.

• Good understanding of networking protocols, SNMP, syslog, and security best practices.

• Strong problem-solving skills and ability to work independently or in cross-functional teams.

• Experience with version control systems (e.g., Git) and infrastructure-as-code tools is a plus.

• Experience working with various monitoring and logging tools such as Zabbix, Datadog, and similar platforms.