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.