Elasticsearch Engineer (Miami)

Core Responsibilities-
Pipeline Engineering:

Design and maintain scalable log ingestion pipelines using OpenTelemetry (OTel), Fluent Bit, or Logstash to process high-velocity telecom data.

Telecom-Specific Analytics:

Implement Piped Processing Language (PPL) to query complex datasets and identify network issues like jitter, packet loss, or dropped calls.

Compliance & Security:

Manage automated reporting for industry regulations (e.g., GDPR, SOX, PCI) and ensure long-term log retention strategies for audit trails.

Advanced Monitoring:

Build OpenSearch Dashboards to visualize Key Performance Indicators (KPIs) and configure Anomaly Detection to proactively catch service outages.

Cluster Management:

Optimize OpenSearch cluster performance, including shard management and storage tiering (e.g., integrating with Amazon S3) to handle massive amounts of data cost-effectively.

Technical Skills-
Search Technologies:

Deep expertise in OpenSearch or Elasticsearch (ELK Stack).
Domain Tools:

Experience with telecom-specific protocols like SNMP or SSH for network monitoring.
Infrastructure:

Proficiency in AWS OpenSearch Service and container orchestration with Kubernetes.
Automation:

Strong scripting skills in Python or Bash and Infrastructure as Code (IaC) using Terraform.