Elastic Search with Aks - Remote, India - Ismile Technologies

Ismile Technologies

Verified Company

Remote, India

2 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

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Job Role:
Elastic search with AKS_

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Location: Remote_

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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 uptodate 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._
Handson 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, rolebased access control (RBAC), and encryption at rest._
Excellent problemsolving skills and the ability to analyze and troubleshoot complex issues in production environments._
Strong communication and collaboration skills to work effectively with crossfunctional teams._
Proactive and selfmotivated, 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 cloudnative 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._