Splunk Engineer

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 API's

• • 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.