Lead Infrastructure Manager

Wells Fargo is seeking a Lead Infrastructure Engineer to design, implement, and optimize enterprise-level Splunk solutions. This role requires a deep understanding of Splunk architecture, hands-on Cribl experience, and a proven track record of managing and executing large-scale Splunk SaaS migrations. The ideal candidate will lead end-to-end Splunk initiatives, ensuring scalable, efficient, and cost-effective solutions while collaborating with cross-functional teams to drive success.

In this role, you will:

• Lead complex initiatives to develop infrastructure to provide solutions for business applications
• Participate in various projects intended to continually improve or upgrade the infrastructure
• Evaluate internal and external software solutions which could be leveraged to meet target state architecture goals
• Review and analyze high impact outages to ensure the proper processes and procedures are in place to avoid problems in the future
• Design, build, deploy and maintain infrastructure solutions through collaborative efforts with the team and third party vendors
• Design, code, test, debug and document programs using Agile development practices
• Make decisions in technical designs, implementation plans and identify project risks and resource requirements
• Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success
• Recommend courses of action to maintain cost effectiveness and achieve results
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
• Interact with customer and vendor

Required Qualifications:

• 5+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Bachelors degree in Computer Science, Information Systems, or a related field (or equivalent experience).
• Experience in design, development, and implementation of Splunk architecture and solutions for large scale on-prem/SAAS environments
• Proven expertise in leading large-scale Splunk SaaS migrations.
• Proficiency with Cribl Stream, Cribl Edge, or equivalent data pipeline tools.
• Ability to configure and manage Cribl for advanced data transformation, filtering, enrichment, and routing.
• Develop complex dashboards, reports, and alerts tailored to business and operational needs.
• Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid cloud environments.
• 3+ years of strong automation experience (Python, PowerShell, Bash, etc.) for automation and API integration.
• Strong understanding of Linux/Unix systems and networking concepts.
• Worked on a large Splunk infrastructure, including clustered environments, multi-site deployments, and cloud/SAAS deployment.
• Exposure to containerization and orchestration tools (Docker, Kubernetes).
• Familiarity with DevOps practices and CI/CD pipelines.
• Certifications in Splunk, Cribl, or cloud technologies (AWS, Azure).

Job Expectations:

• Serve as the technical lead for large-scale Splunk SaaS migrations, overseeing planning, execution, and post-migration optimization.
• Develop complex dashboards, reports, and alerts tailored to business and operational needs.
• Develop migration strategies, including data ingestion, configuration, and app compatibility assessments.
• Design data pipelines to optimize Splunk ingestion, reduce licensing costs, and improve system performance.
• Proactively identify and resolve bottlenecks in ingestion, indexing, and search processes.