# Lead Systems Operations Engineer at Wells Fargo

Wells Fargo is hiring a Lead Systems Operations Engineer in Bengaluru, India. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/bb2235d0-b1e3-4d41-b781-5bd4ff52516c?utm_medium=ai-agent).

AI Level 1, AI centrality 28 out of 100. Bengaluru, India.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 1 (score 28 out of 100)
- Location: Bengaluru, India
- Posted: October 14, 2026
- Apply: https://jobsbylevel.com/go/bb2235d0-b1e3-4d41-b781-5bd4ff52516c?utm_medium=ai-agent

## Description

About this role: Wells Fargo is seeking a Lead Systems Operations Engineer. In this role, you will: Lead complex, broad impact initiatives including provision of high level systems consultation for the technology teams Work as key participant in large scale planning of computer systems and network infrastructure for Systems Operations functional area Review and analyze complex technical challenges, as well as escalated support issues related to core business solutions that require in depth evaluation of multiple factors, such as alternatives, enhancements, periodic systems reviews, or improvements to existing systems Make decisions on technical changes and enhancements Consult with engineering team on change design requiring solid understanding of technical process controls or standards that influence and drive new initiatives Collaborate and consult with technical peers, colleagues, and mid to more experienced level managers to resolve systems support issues and achieve goals Required Qualifications: 5+ years of Systems Engineering, Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualification: Experience in Software Engineering, SRE, DevOps, or Platform Engineering . Strong proficiency in Python for automation and tooling . Hands‑on experience with Grafana, Prometheus, and Splunk in production environments. Solid understanding of SLIs, SLOs, dashboards, alerting, and observability best practices . Experience applying AI/ML concepts to monitoring, alerting, or operational analytics. Strong knowledge of Linux, networking, and distributed systems . Experience with Cloud platforms and Kubernetes/OpenShift . Proven experience leading incidents, RCAs, and reliability initiatives Experience building custom Prometheus exporters or advanced Grafana dashboards. Strong Splunk expertise (search, dashboards, alerts, log pipelines). Experience operationalizing ML models for observability (AIOps). Familiarity with CI/CD, Terraform, Ansible , and enterprise automation platforms. Experience supporting large‑scale, regulated, or globally distributed systems. Improved reliability and performance against defined SLOs. Reduced alert noise and faster detection and recovery of incidents. Increased automation and self‑healing adoption using Python and observability signals. Strong observability maturity across platforms and applications. Improved MTTD and MTTR through effective use of Grafana, Prometheus, and Splunk. Job Expectation: Reliability & Availability Engineering Own and improve availability, performance, scalability, and resilience of production systems. Define, monitor, and manage SLIs/SLOs and error budgets to guide reliability investments. Lead capacity planning, performance testing, failover readiness, and disaster‑recovery design. Observability & Monitoring (Grafana / Prometheus / Splunk) Design and operate a comprehensive observability stack using: Prometheus for metrics collection and alerting Grafana for dashboards, visualization, and SLO tracking Splunk for log aggregation, troubleshooting, and incident forensics Build and maintain golden dashboards and actionable alerts aligned to business impact. Reduce alert fatigue through signal‑based monitoring and correlation of metrics, logs, and traces. Partner with application teams to define instrumentation standards for metrics and logging. Use observability data to improve MTTD, MTTR, and reliability outcomes . Automation & Python Engineering Develop Python‑based automation for monitoring, alert remediation, deployments, scaling, and recovery. Build self‑healing workflows integrated with Prometheus alerts and Splunk signals. Create reusable automation frameworks and internal SRE tooling. Embed automation into CI/CD pipelines to improve deployment safety and reliability. AI/ML‑Driven Reliability (AIOps) Apply AI/ML techniques to observability and operations

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/lead-systems-operations-engineer-at-wells-fargo-87ff5b

Source: https://jobsbylevel.com/jobs/lead-systems-operations-engineer-at-wells-fargo-87ff5b

## Cite this page

Level. https://jobsbylevel.com/jobs/lead-systems-operations-engineer-at-wells-fargo-87ff5b.

Get job alerts: https://jobsbylevel.com/newsletter