Lead Database Administrator

About Business Unit:

A consolidated team of database technology professionals, we deliver expert insights across all major database engines and Big Data solutions to support Epsilon products and platforms. The team has a one-of-a-kind alignment that combines a horizontal organizational structure with vertically aligned sub-groups dedicated to our clients. By adhering to consistent standards and methodologies, the team ensures operational excellence and has close ties with product teams at Oracle, IBM, Cloudera, Amazon and Microsoft.

Overview:

We are seeking an experienced ELK Stack Administrator to manage, maintain, and optimize our Elasticsearch clusters in production environments.

The ideal candidate will have strong expertise in Elasticsearch, Kibana, and Logstash administration, along with solid experience in Linux systems, automation tools, and monitoring/observability platforms.

This role focuses on cluster administration, deployment, performance tuning, scaling, and monitoring, rather than application development.

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.

Responsibilities:

• Install, configure, and administer Elasticsearch, Kibana, and Logstash (ELK Stack) 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.

Qualifications

Required Skills:

• 8+ years of hands-on experience administering Elasticsearch, Kibana, and Logstash.

Strong understanding of:

• Elasticsearch cluster architecture
• Index management and 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.
• Experience integrating ELK with cloud platforms (AWS / Azure / GCP).
• Knowledge of Elastic concepts and Beats, such as:
• Filebeat
• Metricbeat
• Elastic Serverless forwarder
• APM servers
• Elastic Agent
• Elastic Fleet architecture
• Exposure to containerized environments:
• Docker
• Kubernetes