Senior Systems Operations Engineer

Wells Fargo•Minneapolis, MN

7d•$42 - $74•Hybrid

About The Position

Wells Fargo is seeking a Site Reliability Engineer who combines technical expertise with a focus on automation, resilience, and operational excellence. The role partners with engineering and application teams to design, build, and support highly available, scalable, and secure technology platforms. It drives reliability improvements through observability, automation, and continuous service optimization, and leads incident response, root cause analysis, and reliability initiatives to reduce risk and improve enterprise service stability. The position manages installed systems and infrastructure in the Systems Operations functional area, improves system efficiency and reduces manual intervention, and reviews operational support systems, application software, and system management tools to support high availability. It also works with vendors and technical personnel to resolve issues and helps lead teams in meeting technical deliverables while following technical process controls and standards. The role requires periodic evening and weekend on-call availability and at least three days per week in the office. Listed work locations are Charlotte, North Carolina; Des Moines, Iowa; Minneapolis, Minnesota; and Dallas, Texas. The posted base pay range is $41.83–$74.04; the posting does not specify the pay period.

Requirements

At least 4 years of Systems Engineering or Technology Architecture experience, or equivalent experience demonstrated through work experience, training, military experience, or education.
At least 3 years of demonstrated experience leading large-scale Production Application Support, including ITIL-aligned incident, problem, and change management.
At least 3 years of experience implementing application observability using tools such as AppDynamics, Splunk, Elastic, BigPanda (AIOPS), Grafana, or Microsoft Application Insights.
At least 3 years of experience supporting large-scale Java and .NET applications.
Strong RDBMS expertise, including Oracle and MSSQL.
Strong problem-solving skills, a customer-focused mindset, and the ability to lead incident response, root cause analysis, and reliability initiatives.
Periodic availability for evening and weekend on-call.
Expectation of at least 3 days per week in the office.

Nice To Haves

Experience supporting AI/ML-enabled production systems, including reliability, scalability, and operational risk management for LLM- or agent-based workflows.
Understanding of AI operational concerns, including model observability, prompt/configuration change management, data drift, failure modes, and integrating AI signals into incident response and SRE practices.
Thorough understanding of application environment implementations, including on-premises, client-server, on-premises cloud, hybrid cloud, and public cloud.
Experience using and configuring CI/CD tools including Jenkins, Artifactory, and Harness, as well as Terraform.
Proven experience reducing operational toil through automation such as Ansible or equivalent, including runbook automation and self-healing patterns.
Experience operating resilient systems, including traffic management (F5, AVI), fault tolerance, and data replication.
NoSQL experience, including MongoDB.

Responsibilities

Lead or participate in managing installed systems and infrastructure within the Systems Operations functional area.
Increase system efficiencies and reduce human intervention time on related tasks.
Review and analyze moderately complex operational support systems, application software, and system management tools to support high availability of systems and infrastructure.
Work with vendors and technical personnel to resolve problems and technical issues.
Lead the team in meeting technical deliverables while applying an understanding of technical process controls or standards.
Support highly available, scalable, and secure technology platforms in partnership with engineering and application teams.
Drive reliability improvements through observability, automation, and continuous service optimization.
Lead incident response, root cause analysis, and reliability initiatives to reduce risk and improve enterprise service stability.