Elastic Search with Aks

_**Job Role: Elastic search with AKS**_
- **Location: Remote**_
- _
- In this role, you will be responsible for designing, deploying, and maintaining highly scalable and reliable Elastic Search clusters to support our data indexing and search requirements._
- Responsibilities:_
- Design and architect Elastic Search clusters on AKS based on best practices and performance considerations._
- Deploy and configure Elastic Search clusters on AKS, including setting up indexes, mappings, and search queries._
- Optimize Elastic Search performance by tuning cluster settings, shard allocation, and data indexing strategies._
- Monitor and troubleshoot Elastic Search clusters to ensure high availability, reliability, and performance._
- Collaborate with development teams to understand data indexing and search requirements and provide recommendations._
- Implement security measures for Elastic Search clusters, including authentication, authorization, and encryption._
- Develop and maintain documentation, including cluster configurations, deployment procedures, and troubleshooting guides._
- Stay up-to-date with the latest trends and technologies in Elastic Search and AKS to propose and implement improvements._
- Requirements:_
- Bachelor's degree in Computer Science, Information Technology, or a related field. A master's degree is a plus._
- Proven experience working with Elastic Search in production environments, preferably on AKS or other Kubernetes platforms._
- Strong knowledge of Elastic Search architecture, indexing, and search optimization techniques._
- Hands-on experience with AKS and Kubernetes, including cluster deployment, configuration, and management._
- Proficient in scripting and automation using tools such as Python, Shell, or Ansible._
- Familiarity with monitoring and logging tools for Elastic Search clusters, such as Prometheus, Grafana, and Elasticsearch Monitoring._
- Understanding of security best practices for Elastic Search, including SSL/TLS, role-based access control (RBAC), and encryption at rest._
- Excellent problem-solving skills and the ability to analyze and troubleshoot complex issues in production environments._
- Strong communication and collaboration skills to work effectively with cross-functional teams._
- Proactive and self-motivated, with the ability to work independently and manage multiple tasks simultaneously._
- Preferred Qualifications:_
- Elastic Certified Engineer or similar certifications._
- Experience with other related technologies such as Logstash, Kibana, Beats, or Filebeat._
- Familiarity with Azure services and cloud-native architectures._
- Knowledge of containerization and container orchestration technologies like Docker and Kubernetes._
- Understanding of DevOps principles and experience with CI/CD pipelines._
- Experience with performance testing and benchmarking of Elastic Search clusters._