Overview
Hybrid
$100,000 - $125,000
Full Time
Skills
Elasticsearch
Logstash
log aggregation
indexing
Python
Bash
Groovy
Dynatrace
Elasticsearch clusters
Kafka
Fluentd
Prometheus
Grafana
OpenSearch
Linux systems
networking
CI/CD pipelines
Git
Kubernetes
AWSOpenSearch
Azure Elastic Stack
or Google Cloud Logging
kinana
data parsing
containerization
docker
Job Details
Senior SRE (ELK), 10+ yrs experience
Mid Level SRE (ELK),7+ yrs experience
Location: Fort Mill or Austin (Hybrid)
Plz look for candidates with Experience ELK(Elasticsearch, Logstash, Kibana) Monitoring experience, Any APM Tools
Examples of APM tools:
Dynatrace
AppDynamics
Datadog
New Relic
ManageEngine Applications Manager
Stackify
Splunk
Grafana
Amazon CloudWatch
Key Responsibilities:
- Design, develop, and maintain ELK Stack solutions to ensure efficient log management, monitoring, and search capabilities.
- Implement, optimize, and troubleshoot data pipelines for telemetry, analytics, and observability using Logstash, Beats, Kafka, or other ETL tools.
- Customize Elasticsearch indexing, queries, and storage solutions to improve system performance and scalability.
- Develop dashboards, visualizations, and alerting mechanisms in Kibana and other monitoring tools to enhance system observability.
- Integrate ELK solutions with cloud environments (AWS, Azure, or Google Cloud Platform) and implement security best practices for data storage and access.
- Monitor and optimize system performance, resource utilization, and search efficiency to maintain high availability and reliability.
- Collaborate with DevOps, Security, and Software Engineering teams to enhance log processing, alerting, and data enrichment strategies.
- Automate deployments and configurations using tools like Ansible, Terraform, Kubernetes, and CI/CD pipelines.
- Stay updated with the latest ELK stack developments and industry trends to implement best practices and new features.
Required Skills and Qualifications:
- 7-10 years of hands-on experience with Elasticsearch, Logstash, Kibana (ELK Stack) in enterprise environments.
- Strong knowledge of log aggregation, indexing, and data parsing techniques.
- Proficiency in scripting and automation using Python, Bash, or Groovy.
- Experience with observability platforms and telemetry solution including Dynatrace
- Knowledge of distributed systems, clustering, and high-availability architectures.
- Experience in tuning and scaling Elasticsearch clusters for performance optimization.
- Hands-on experience with Kafka, Fluentd, Prometheus, Grafana, OpenSearch is a plus.
- Strong background in Linux systems, networking, and security.
- Familiarity with CI/CD pipelines, Git, Kubernetes, and containerization (Docker).
- Experience with cloud services like AWS OpenSearch, Azure Elastic Stack, or Google Cloud Logging.
- Strong problem-solving skills and the ability to work in fast-paced environments.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.