Workforce Compute Ops SRE Senior Infrastructure Engineer

Wells Fargo Bank•Irving, TX

6d•Onsite

About The Position

Wells Fargo is seeking a Senior Site Reliability Engineer to provide technical leadership, mentorship, and guidance to a team responsible for the stability, reliability, availability, performance, and continuous improvement of enterprise workplace technology platforms. The role promotes SRE standards and practices across observability, service level indicators (SLIs), service level objectives (SLOs), error budgets, incident and problem management, automation, and operational resilience. It uses telemetry and data-driven insights to identify risks, reduce incidents and recurrence, and drive reliability improvements. The engineer will help improve workplace technology platform stability through intelligent automation, Agentic AI capabilities, and low-code/no-code solutions. This includes technical leadership for AI-assisted incident triage, root cause analysis, workflow automation, proactive remediation, and self-healing capabilities to improve operational efficiency and the end-user experience. The role must be performed onsite at one of the posted locations. Sponsorship is not available.

Requirements

At least 4 years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
At least 2 years of experience developing software, automation, or data processing solutions using Python.
At least 2 years of experience with observability and monitoring technologies such as Splunk, Grafana, Prometheus, Elastic, or similar tools.
Must be able to work onsite at one of the posted locations.
Sponsorship is not available for this role.

Nice To Haves

Prior experience with Wells Fargo technology systems.
Strong knowledge of SRE principles and practices, including observability, SLIs, SLOs, error budgets, incident management, problem management, and operational resilience.
Experience developing Generative AI or Agentic AI solutions.
Knowledge of large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), AI-assisted workflows, and API-based AI integrations.
Experience with workflow automation and low-code/no-code platforms.
Experience using operational telemetry and data analytics to identify trends, anomalies, and opportunities for proactive remediation.
Experience with observability and monitoring platforms such as Splunk, Grafana, Prometheus, Elastic, or similar technologies.
Experience with containers, Kubernetes, and Infrastructure as Code practices.
Strong problem-solving, communication, and collaboration skills.

Responsibilities

Lead or participate in high-level technical concepts spanning technology and business.
Develop specifications for complex infrastructure systems, and design and test solutions.
Contribute to testing business, application, and technical infrastructure requirements.
Drive solutions to reduce recovery.
Review and analyze solutions for cloud security, secrets management, and key rotations.
Design, code, test, debug, and document programs using Agile development practices.
Design complex system upgrades.
Resolve troublesome trends as they develop.
Develop long-range plans designed to resolve problems and prevent recurrence.
Direct the daily risk and control flow of operations, focusing on policies, procedures, and work standards.
Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals.
Provide technical leadership, mentorship, and guidance to a team responsible for workplace technology platform reliability and continuous improvement.
Promote SRE practices covering observability, SLIs, SLOs, error budgets, incident and problem management, automation, and operational resilience.
Use telemetry and data-driven insights to identify risks, reduce incidents and recurrence, and improve reliability.
Provide technical leadership for AI-assisted incident triage, root cause analysis, workflow automation, proactive remediation, and self-healing capabilities.