Principal Site Reliability Engineer

Wells Fargo Bank•Irving, TX

3d•Hybrid

About The Position

Wells Fargo’s Enterprise Functions Technology (EFT) Group is seeking a Principal Site Reliability Engineer in Enterprise Risk, Audit, and Finance Technology (ERAFT), which delivers and supports critical technology platforms used by Risk, Audit, and Finance teams across the enterprise. The role serves as a senior technical authority for AI-driven solutions, defining architecture, design standards, engineering practices, and delivery patterns for secure, resilient, scalable, and governed agentic AI systems. Combining site reliability engineering, cloud-native development, and deployment engineering, the Principal Site Reliability Engineer will help ensure the availability, performance, observability, and operational excellence of enterprise AI platforms. The role leads the design and implementation of AI-enabled platforms, advances automation and reliability initiatives, establishes monitoring and incident-management practices, and provides technical leadership across cloud-native technologies, container platforms, CI/CD pipelines, and modern software engineering frameworks. The position partners with cross-functional teams to deliver highly available, business-critical solutions while maintaining security, compliance, and governance standards. This position offers a hybrid work schedule and requires the ability to work in the office. Travel of up to 10% may be needed. The position is not eligible for visa sponsorship, and relocation assistance is unavailable. The posting end date is October 19, 2026, although the posting may be removed earlier due to applicant volume.

Requirements

At least 7 years of engineering experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
At least 7 years of software engineering experience using Java, Python, C#, Go, or similar technologies.
At least 5 years of experience designing and supporting enterprise observability, monitoring, and reliability solutions.
At least 3 years of experience with cloud and cloud-native technologies.
At least 3 years of experience implementing SRE practices, automation, incident management, and operational excellence capabilities.
Ability to work in the office under a hybrid work schedule.
Ability to travel up to 10% if needed.

Nice To Haves

Experience with Agentic AI, RAG, AI orchestration frameworks, prompt engineering, and AI governance.
Experience with Kubernetes, OpenShift, CI/CD, and infrastructure automation.
Experience with observability technologies including Grafana, Prometheus, Splunk, Elastic, DataDog, or AppDynamics.
Experience with AIOps, AI/ML, and intelligent automation solutions.
Strong verbal, written, and interpersonal communication skills.

Responsibilities

Serve as a senior technical authority for AI Engineering, Site Reliability Engineering (SRE), AIOps, and enterprise platform reliability initiatives.
Advise leadership and influence architecture, engineering strategy, and technology decisions for highly complex business and technical challenges.
Lead the design and implementation of scalable, resilient, secure, and governed AI and platform engineering solutions.
Drive adoption of SRE principles, observability, monitoring, logging, synthetic monitoring, and chaos engineering practices across the enterprise.
Advance AIOps through automation, self-healing, intelligent operations, and AI/ML-driven solutions to improve reliability and operational efficiency.
Establish engineering standards, architecture patterns, and best practices for AI platforms, agentic AI solutions, observability, resiliency, and operational excellence.
Lead technical resolution of critical production issues, root cause analysis, blameless postmortems, and continuous improvement initiatives.
Design and guide 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 strategic business objectives and technology opportunities into scalable engineering roadmaps and solutions.
Maintain expertise in emerging technologies, AI, cloud, reliability engineering, and automation, and recommend innovations that create business value.
Follow applicable Wells Fargo policies and procedures and fulfill risk and compliance obligations, including monitoring, governance, risk identification, escalation, and remediation.