Senior Engineer, Elasticsearch
1 week ago
**Our Client is an established company in Singapore, who is seeking to recruit a Senior Engineer, ElasticSearch.
**Senior Engineer, ElasticSearch**
**Key Responsibilities**
- Architect, design, develop, deploy, and optimize the performance of our Central Log Management platform using ELK
- As a Senior resource you should be an ELK Subject Matter Expertise, in setting standards, best practise and provide recommendation for Observability, Application logging, Monitoring and reporting
- Deploy and manage data pipelines, new data services and analytical reporting dashboards
- Contribute in design understanding the architectural trade-offs including Scalability, Resiliency, High Availability and Security Perform capacity planning and solution review related to the ELK environment
- Tertiary qualification in Information Technology or related discipline
- More than 7 years’ relevant experience in supporting Elasticsearch in production, handling medium to large clusters
- Certification in ELK Stack.
- Good to have ELK deployment experience in any cloud environment (Azure, AWS, GCP)
- Experience in setting up ELK Stack (Elasticsearch, Logstash, Kibana stack) to process data from multiple data sources
- Strong understanding and experience in ELK Machine Learning and APM
- Strong analytical skills coupled with superior communication skills, both written and verbal
- Excellent problem-solving abilities and able to resolve in shortest possible timing
- Experience in working on Agile based development and delivery methodology
- ITIL knowledge and certification
- Implementation and management of Elasticsearch.
- Working knowledge with Jira and Bitbucket is a plus.
- Experience in automation tools (e.g. Ansible, Puppet) & DevOps pipelines would be a plus
- Experience in one or more of the following programming/scripting languages: Python, Java, Perl, PowerShell
**Responsibilities**
JJ Consulting Services
EA Licence No.: 12C6207
**Salary**: $3,401.07 - $10,041.82 per month
Schedule:
- Monday to Friday
**Experience**:
- Elasticsearch: 3 years (preferred)
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