Principal Site Reliability Engineer
Wells Fargo21 hours ago
Irving, TX, USAStaff+
Responsibilities
- Serve as a senior technical authority for AI Engineering, Site Reliability Engineering, AIOps, and enterprise platform reliability initiatives.
- Lead architecture and implementation of scalable, resilient, secure, and governed AI and platform engineering solutions.
- Drive observability, monitoring, logging, synthetic monitoring, chaos engineering, automation, self-healing, and intelligent operations practices.
- Lead resolution of critical production issues, root cause analyses, blameless postmortems, and continuous improvement initiatives.
- Design enterprise AI capabilities including RAG platforms, agentic workflows, AI orchestration, reusable services, and workflow automation.
- Provide hands-on technical leadership across cloud-native platforms, Kubernetes/OpenShift, APIs, CI/CD, automation, and modern software engineering practices.
- Mentor senior engineers and technical leads through architecture reviews, design governance, reusable patterns, and engineering best practices.
- Translate business objectives and technology opportunities into scalable engineering roadmaps and solutions.
Requirements
- 7+ years of engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
- 7+ years of software engineering experience using Java, Python, C#, Go, or similar technologies.
- 5+ years of experience designing and supporting enterprise observability, monitoring, and reliability solutions.
- 3+ years of experience with cloud and cloud-native technologies.
- 3+ years of experience implementing SRE practices, automation, incident management, and operational excellence capabilities.
- Experience with agentic AI, RAG, AI orchestration frameworks, prompt engineering, and AI governance is preferred.
- Experience with Kubernetes, OpenShift, CI/CD, and infrastructure automation is preferred.
- Experience with Grafana, Prometheus, Splunk, Elastic, DataDog, or AppDynamics is preferred.
- Experience with AIOps, AI/ML, and intelligent automation solutions is preferred.
- Strong verbal, written, and interpersonal communication skills.
Benefits
- Hybrid work schedule with the ability to work in the office.
- Up to 10% travel may be required.
- Relocation assistance is not available.
- Position is not eligible for visa sponsorship.
- Posting end date is October 29, 2026, subject to early removal due to applicant volume.
Tech Stack
Categories
AI ApplicationsSite Reliability
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.