JD for DevOps/Elasticsearch Engineers:
- Should have strong knowledge in ELK stack.
- Strong experience in Design, build, deploy, maintain and enhance ELK Clusters (100+ Nodes)
- Strong experience in installing and configuring ELK on AWS, and Vmware/Openstack
- Strong experience in using Elastic search Indices, Elastic search APIs, Kibana Dashboards, Log stash and Log Beats.
- Experience in enhancing Open source ELK for custom capabilities.
- Capacity Planning of ElasticSearch Cluster.
- Experience in using ElasticSearch Cluster Monitoring Tools (Marvel).
- Knowledge of scripting languages like Bash, Python, PowerShell, etc.
- Understanding of DevOps pipeline and code deployment
- Experience of cloud services provider, AWS specifically, [GoogleCloud/Azure good to have]
- Experience of AWS Lambda and Kinesis
- Experience of Configuration Management tools, specifically Ansible. [Puppet/Chef good to have]
- Experience with containerization and orchestration tools e.g Docker, Kubernetes
- Experience of Infrastructure As Code (Cloud formation and Terraform)
Good to have Certifications
- Elastic Certified Engineer
- Kubernetes Certified Administrator
- AWS Certified DevOps Associate/Professional
- AWS Certified Solution Architect Associate/Professional