Job Description
Title:
Log Data Systems Engineer - Splunk Cribl
Location:
Owings Mills, MD (2 days onsite, 3 days remote)
Responsibilities:
Support systems engineering lifecycle activities for large hybrid Splunk and Cribl deployments, including requirements gathering, design, testing, implementation, operations, and documentation.
Implementing log data pipelines through automation in Python to ingest logs into log management platforms like Splunk, Open Search
Automating platform management processes through Ansible or other scripting tools/languages
Troubleshooting incidents impacting the log data platforms
Coordinating and collaboration with users of the platform
Develop training and documentation materials
Support log data platform upgrades including coordinating testing of upgrades with users of the platform
Gather and process raw data from multiple disparate sources (including writing scripts, calling APIs, writing SQL queries, etc.) into a form suitable for analysis
Enables log data, batch and real-time analytical processing solutions leveraging emerging technologies
Build log data pipelines to help with the development and testing of log data engineering
Experience:
General:
Ability to troubleshoot and diagnose complex issues
Able to demonstrate experience supporting technical users and conduct requirements analysis
Can work independently with minimal guidance & oversight
Experience with IT Service Management and familiarity with Incident & Problem management
Highly skilled in identifying performance bottlenecks, identifying anomalous system behavior, and resolving root cause of service issues.
Demonstrated ability to effectively work across teams and functions to influence design, operations, and deployment of highly available software
Knowledge of standard methodologies related to security, performance, and disaster recovery
Required Technical Expertise:
3-5 years experience managing and configuring Splunk Enterprise and/or Splunk Cloud
Developing and managing requirements, and making data-driven decisions
Experience with Linux and Windows agents (Splunk, Fluentbit/Fluentd) for log data engineering
Experience in designing, developing, and deploying cloud-based solutions using AWS
Experience in onboarding new data, configuration, creating new dashboards, extracting information through Splunk, Cribl
Experience in development of systems for data extraction, ingestion and processing of large volumes of data
Demonstrated proficiency with scripting and automation (bash, python, other programming languages)
Familiarity with Splunk rest APIs
Knowledge of cloud platforms (prefer AWS) and container + orchestration technologies
Experience with data pipeline orchestration platforms
Preferred Technical Experience:
Splunk Certification (Admin or Architect)
Experience with Ansible tower automations
Experience using Gitlab
Experience with large platform migration efforts
Experience with AWS OpenSearch
Experience with Cribl
Familiarity with data streaming technologies such as Kafka, Kinesis, spark streaming, etc