AdTechTalent
Engineering2 months agoHybrid

Epsilon

Lead Database Administrator

ElasticsearchKibanaLogstashELK StackLinuxTerraformAnsibleGitBitbucketMonitoringObservabilitySIEMAPMShell scriptingPythonCloudAWSAzureGCPDockerKubernetesInfrastructure as CodeCluster administrationPerformance tuning

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

10+

Location

Bengaluru, India

Full job description

Seeking an experienced ELK Stack Administrator to manage, maintain, and optimize Elasticsearch clusters in production. Responsibilities include installing, configuring, and administering Elasticsearch, Kibana, and Logstash; managing cluster lifecycle, shard optimization, replication, backups; scaling, tuning, troubleshooting; maintaining Logstash pipelines; creating Kibana dashboards; supporting Observability, Monitoring, and SIEM; managing security configurations; performing upgrades and health checks; collaborating with DevOps and Infrastructure teams; ensuring high availability and disaster recovery; using Infrastructure as Code and automation tools. Requires 8+ years experience with Elasticsearch stack, Linux administration, Terraform, Ansible, Git/Bitbucket, monitoring concepts, scripting (Shell/Python), and SIEM/APM knowledge. Preferred experience with Elastic Stack X-Pack, cloud integrations (AWS/Azure/GCP), Beats, and containerization (Docker, Kubernetes).

What you'll do

  • Install, configure, and administer Elasticsearch, Kibana, and Logstash in production environments
  • Manage Elasticsearch clusters including index lifecycle management, shard allocation and optimization, replication management, backups and restores
  • Perform cluster scaling, performance tuning, and troubleshooting
  • Configure and maintain Logstash pipelines and data ingestion workflows
  • Create and maintain Kibana dashboards and monitoring visualizations
  • Implement and support Observability, Monitoring, and SIEM use cases
  • Manage security configurations including roles and users, TLS encryption, RBAC policies
  • Perform stack upgrades, patching, and regular health checks
  • Collaborate with DevOps, Infrastructure, and Monitoring teams
  • Ensure high availability and disaster recovery readiness
  • Use Infrastructure as Code (IaC) and automation tools to manage deployments and configurations

Requirements

  • 8+ years of hands-on experience administering Elasticsearch, Kibana, and Logstash
  • Strong understanding of Elasticsearch cluster architecture, index management, shard optimization, query performance tuning, snapshot and restore processes
  • Experience with Linux system administration (RHEL / Ubuntu)
  • Experience with Infrastructure as Code and automation tools: Terraform, Ansible
  • Experience with version control systems: Git, Bitbucket
  • Knowledge of Monitoring and Observability concepts
  • Experience handling production incidents and troubleshooting
  • Basic scripting skills (Shell or Python preferred)
  • Understanding of SIEM and APM concepts
  • Good to have: Experience with Elastic Stack X-Pack features
  • Good to have: Experience integrating ELK with cloud platforms (AWS / Azure / GCP)
  • Good to have: Knowledge of Elastic concepts and Beats (Filebeat, Metricbeat, etc.)
  • Good to have: Exposure to containerized environments (Docker, Kubernetes)

Tech stack

ElasticsearchKibanaLogstashLinux (RHEL, Ubuntu)TerraformAnsibleGitBitbucketShell scriptingPythonElastic Stack X-PackAWSAzureGCPFilebeatMetricbeatElastic Serverless forwarderAPM serversElastic AgentElastic FleetDockerKubernetes

Benefits

Employee well-being focusCollaborative work environmentOpportunities for growth, learning, development, and career advancementInnovation-driven cultureWork-life balance and flexibilityDiversity, inclusion, and equal employment opportunity commitment

Apply now

This MVP uses a placeholder application flow. In production, this section can connect to an external apply URL or a native application form.

Continue to applicationBrowse more jobs

Similar jobs

More roles worth a look

Related opportunities based on specialty and working model so candidates can keep momentum.