We are seeking an Observability & SRE Expert with Hands-On experience in On-premise and Cloud environments to join us part-time (100 hours monthly).
עוד על התפקיד
the role involves practical tasks:
Implement monitoring, logging, tracing, and metrics for On-Premise and Cloud
Manage SLOs, SLAs, SLIs, and Error Budgets
Monitor, troubleshoot, and resolve performance issues. Handle incidents and
perform root cause analysis
Develop automation for operational processes. Manage infrastructure and write
maintenance scripts
Build intuitive dashboards and optimize alert management
Cross-Team collaboration: Work with Development, Infrastructure, Security, and
DevOps teams
Apply SRE principles to enhance system reliability and performance.
עוד על התפקיד
the role involves practical tasks:
Implement monitoring, logging, tracing, and metrics for On-Premise and Cloud
Manage SLOs, SLAs, SLIs, and Error Budgets
Monitor, troubleshoot, and resolve performance issues. Handle incidents and
perform root cause analysis
Develop automation for operational processes. Manage infrastructure and write
maintenance scripts
Build intuitive dashboards and optimize alert management
Cross-Team collaboration: Work with Development, Infrastructure, Security, and
DevOps teams
Apply SRE principles to enhance system reliability and performance.
Requirements:
Experience: 7+ years hands-on in Observability, Monitoring, SRE, On-Premise
&Cloud
Tools: Prometheus, Grafana, ELK, Splunk, Datadog, Terraform, Ansible, etc.
Programming: Python, Java
Big Data: Hadoop, Spark, Kafka
Cloud: AWS/GCP/Azure, CloudWatch, Stackdriver
SLO/SLA/SLI/ Error Budgets: Practical experience
Incident Management: RCA, incident handling
automation: Scripting and process automation
כישורים נדרשים
Degree in Computer Science or a related field
Kubernetes, Docker experience
AI& Machine Learning knowledge.
Experience: 7+ years hands-on in Observability, Monitoring, SRE, On-Premise
&Cloud
Tools: Prometheus, Grafana, ELK, Splunk, Datadog, Terraform, Ansible, etc.
Programming: Python, Java
Big Data: Hadoop, Spark, Kafka
Cloud: AWS/GCP/Azure, CloudWatch, Stackdriver
SLO/SLA/SLI/ Error Budgets: Practical experience
Incident Management: RCA, incident handling
automation: Scripting and process automation
כישורים נדרשים
Degree in Computer Science or a related field
Kubernetes, Docker experience
AI& Machine Learning knowledge.
This position is open to all candidates.
