Splunk Infrastructure Engineer

Skills

• 3 years’ experience managing and configuring Splunk Enterprise and/or Splunk Cloud • Experience with Splunk clustered deployment topology • Experience with Linux and Windows agents for Splunk administration • Experience in designing developing and deploying cloud-based solutions using AWS • Experience in onboarding new data configuration creating new dashboards extracting information through Splunk • Experience with writing or modifying custom Splunk addons • Demonstrated proficiency with scripting and automation (bash python other programming languages) • Familiarity with Splunk rest API’s • Strong scripting skills (e.g. Python Bash) for automation and custom development. • In-depth knowledge of log management data onboarding and SIEM principles.

Description

This is a hybrid position - candidates must be able to work onsite in Owings Mills on Mondays & Tuesdays every week (no exceptions), with the other three days per week remote.
Core skills/requirements for this position are: Splunk, AWS (especially DC2 & DNS), and Ansible for automation.
We are looking for candidates with heavy Splunk administration experience. Someone with proven experience building out infrastructure relating to Splunk.
A Splunk certification is preferred but not required.

Responsibilities

• • 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
• • Expertise in language such as Java, Python. Implementation knowledge in data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data
• • Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets
• • Troubleshoot and resolve issues related to data processing, storage, and retrieval.
• • 3-5 years’ Experience in designing, developing, and deploying data lakes using AWS native services (S3, Glue (Crawlers, ETL, Catalog), IAM, Terraform, Athena)
• • Experience in development of systems for data extraction, ingestion and processing of large volumes of data
• • Experience with data pipeline orchestration platforms
• • Experience in Ansible/Terraform/Cloud Formation scripts and Infrastructure as Code scripting is required
• • Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments
• • Proficiency in implementing monitoring, logging, and alerting solutions for data infrastructure (e.g., Prometheus, Grafana)
• • Proficiency in distributed Linux environments