Lead Infrastructure Engineer
Wells FargoResponsibilities
- Own the architecture, reliability, scalability, and governance of enterprise logging and observability platforms.
- Design and implement resilient, high-volume log ingestion and telemetry pipelines across hybrid and cloud environments.
- Define logging standards, schemas, retention, access controls, and auditability practices.
- Design and integrate AI/ML capabilities for anomaly detection, log classification, predictive alerting, signal enrichment, and telemetry correlation.
- Build and operationalize agentic AI systems for autonomous log analysis, root-cause hypothesis generation, and context-aware remediation recommendations.
- Develop dashboards, reports, alerts, migration strategies, and compatibility assessments tailored to business and operational needs.
- Optimize Splunk ingestion, indexing, and search processes to reduce licensing costs and improve performance.
- Partner with platform, SRE, security, compliance, and incident-response teams to embed observability insights into operational workflows.
- Mentor engineers and provide hands-on technical leadership for architecture and automation decisions.
Requirements
- At least 5 years of technology infrastructure engineering and solutions experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
- Desired 8+ years of software engineering or platform engineering experience.
- Deep expertise with Splunk Enterprise or Splunk Cloud, including search optimization, index design, and platform operations.
- Hands-on experience with Cribl Stream or Cribl Edge for telemetry pipeline optimization.
- Strong experience with Splunk ITSI, service modeling, KPIs, and episode management.
- Hands-on experience with agentic AI frameworks or autonomous agents, including LLM-based or rule-driven systems.
- Understanding of prompt engineering, tool-using agents, feedback loops, and guardrails.
- Proficiency in one or more of Python, Java, Go, or Scala.
- Experience with large, clustered, multi-site, and cloud or SaaS Splunk deployments.
- Experience applying AI/ML techniques to operational or telemetry data.
- Exposure to Docker, Kubernetes, cloud platforms, and Kubernetes/OpenShift environments.
- Familiarity with OpenTelemetry, observability standards, DevOps practices, and CI/CD pipelines.
- Splunk, Cribl, or cloud technology certifications are desirable.
About Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with approximately $1.9 trillion in assets. Wells Fargo’s vision is to satisfy our customers’ financial needs and help them succeed financially. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, investment and mortgage products and services, as well as consumer and commercial finance, through more than 7,300 locations, 12,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in over 40 countries and territories to support customers who conduct business in the global economy. With approximately 250,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 41 on Fortune’s 2022 rankings of America’s largest corporations. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories. Relevant military experience is considered for veterans and transitioning service men and women. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.© 2016 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.