Principal Site Reliability Engineer
About The Position
Wells Fargo’s EFT (Enterprise Functions Technology) Group is seeking a Principal Site Reliability Engineer in ERAFT (Enterprise Risk, Audit, and Finance Technology), an organization within EFT that delivers and supports critical technology platforms used by Risk, Audit, and Finance teams across the enterprise. The position serves as a senior technical authority for AI-driven solutions, setting architecture, design standards, engineering practices, and delivery patterns for secure, resilient, scalable, and governed agentic AI systems. It combines site reliability engineering, cloud-native development, and deployment engineering to support the availability, performance, observability, and operational excellence of enterprise AI platforms. The successful candidate will lead the design and implementation of AI-enabled platforms, automation and reliability initiatives, and best practices for monitoring and incident management. The role provides technical leadership for cloud-native technologies, container platforms, CI/CD pipelines, and modern software engineering frameworks. The position partners with cross-functional teams to deliver highly available solutions for business-critical operations while maintaining security, compliance, and governance standards. The position offers a hybrid work schedule with the ability to work in an office and may require travel up to 10% if needed. It is not eligible for visa sponsorship, and relocation assistance is not available. The role also carries responsibility for following applicable risk programs and company policies, escalating and remediating issues, and making risk decisions consistent with applicable requirements.
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 an office as part of the hybrid work schedule.
- Ability to travel up to 10% if needed.
- Strong verbal, written, and interpersonal communication skills.
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.
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 complex business and technical challenges.
- Lead the design and implementation of scalable, resilient, secure, and governed AI and platform engineering solutions.
- Drive enterprise adoption of SRE principles, observability, monitoring, logging, synthetic monitoring, and chaos engineering.
- 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 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 risk programs, Wells Fargo policies and procedures, risk and compliance obligations, and escalation and remediation requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
