Elasticsearch, ELK Stack Engineer
Siri InfoSolutions, Inc., Miami, FL, United States
Job Role: Elasticsearch (ELK Stack) Engineer
Location: Miami, FL
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.
Required Skills:
ELK, ElasticSearch, OpenSearch, SNMP, SSH, AWS OpenSearch
#J-18808-Ljbffr
Location: Miami, FL
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.
Required Skills:
ELK, ElasticSearch, OpenSearch, SNMP, SSH, AWS OpenSearch
#J-18808-Ljbffr