W

Wells Fargo

Diversified financial services: banking, lending, investments

Senior Lead Systems Operations Engineer

Site Reliability EngineeringPosted on Nov 13
Full-time

About the Job

Requirements

  • Seven or more years of systems engineering and technology architecture experience, or equivalent demonstrated through work experience, training, military experience, or education.
  • Advanced knowledge of Site Reliability Engineering and DevOps practices, including observability, monitoring, automation, incident management, resiliency, availability, and reliability engineering.
  • Strong hands-on experience supporting Salesforce, Java/J2EE applications, APIs, and Red Hat OpenShift or Kubernetes-based platforms in complex enterprise production environments.
  • Five or more years of Salesforce administration experience, Salesforce Administrator certification, or equivalent hands-on Salesforce platform experience.
  • Experience leading high-severity production incidents, troubleshooting complex distributed applications and infrastructure dependencies, performing root-cause analysis, and coordinating technical recovery across multiple engineering teams.
  • Ability to correlate logs, metrics, traces, application behavior, infrastructure signals, system dependencies, and customer or business impact to isolate and resolve production issues.
  • Experience designing and implementing automation to eliminate repetitive operational activities, strengthen production controls, improve reliability, and reduce MTTD and MTTR.
  • Experience applying AI, machine learning, or intelligent automation to operational use cases such as incident correlation, anomaly detection, troubleshooting, root-cause analysis, knowledge discovery, and engineering productivity.
  • Ability to provide clear technical direction and coordinate multiple stakeholders during business-critical and high-pressure production events.
  • Ability to mentor engineers, influence engineering practices, and drive continuous improvement across production support, SRE, observability, automation, and platform reliability.

Responsibilities

  • Diagnose and resolve complex production issues by correlating application behavior, logs, metrics, infrastructure signals, system dependencies, and customer or business impact, and drive coordinated technical recovery across engineering teams.
  • Strengthen monitoring, alerting, application telemetry, automated diagnostics, resiliency, performance management, and incident prevention to advance proactive production support.
  • Identify and implement AI and automation solutions that reduce manual operational effort, accelerate issue detection and root-cause analysis, improve engineering productivity, and reduce MTTD and MTTR.
  • Apply hands-on technical expertise across Salesforce, Java/J2EE, Red Hat OpenShift/Kubernetes, Splunk, AppDynamics, Grafana, Prometheus, ThousandEyes, and Playwright.
  • Partner with application development, infrastructure, architecture, cybersecurity, vendors, and business teams to strengthen platform stability, production readiness, change execution, and engineering practices.
  • Apply AI, machine learning, or intelligent automation to operational use cases including incident correlation, anomaly detection, troubleshooting, root-cause analysis, knowledge discovery, and platform engineering productivity.
  • Advise senior leadership and shape platform engineering, production support, reliability, and operational strategies for complex business and technology initiatives.
  • Lead complex, enterprise-impacting technology initiatives and provide senior-level engineering consultation across applications, platforms, infrastructure, observability, and production operations.
  • Lead technical strategy and resolution of complex production challenges requiring cross-functional analysis, engineering judgment, and scalable long-term solutions.
  • Translate technical expertise, business priorities, enterprise technology strategy, and operational requirements into reliable, resilient, observable, and scalable engineering solutions.
  • Provide technical vision, direction, and expertise to senior leadership while driving adoption of SRE, DevOps, automation, AI, and modern observability practices.
  • Evaluate emerging technologies and industry best practices and apply innovations that improve availability, resiliency, operational efficiency, troubleshooting effectiveness, and engineering productivity.
  • Engage with engineers, architects, product teams, business partners, vendors, and senior leaders across the enterprise, serving as a technical escalation point and trusted advisor.
  • Mentor and develop engineers, strengthen technical capabilities, and establish engineering standards and practices that improve team effectiveness and delivery.

Desired Qualifications

  • Advanced knowledge of Site Reliability Engineering and DevOps practices, including observability, monitoring, automation, incident management, resiliency, availability, and reliability engineering.
  • Strong hands-on experience supporting Salesforce, Java/J2EE applications, APIs, and Red Hat OpenShift or Kubernetes-based platforms in complex enterprise production environments.
  • Deep hands-on expertise with Splunk, AppDynamics, Grafana, Prometheus, ThousandEyes, dashboards, alerting, log analytics, application telemetry, synthetic monitoring, and performance monitoring.
  • Five or more years of Salesforce administration experience, Salesforce Administrator certification, or equivalent hands-on Salesforce platform experience.
  • Demonstrated experience leading high-severity production incidents, troubleshooting complex distributed applications and infrastructure dependencies, performing root-cause analysis, and coordinating technical recovery across multiple engineering teams.
  • Strong analytical and troubleshooting capabilities, including the ability to correlate logs, metrics, traces, application behavior, infrastructure signals, system dependencies, and customer or business impact to isolate and resolve production issues.
  • Experience designing and implementing automation to eliminate repetitive operational activities, strengthen production controls, improve reliability, and reduce MTTD and MTTR.
  • Experience applying AI, machine learning, or intelligent automation to operational use cases such as incident correlation, anomaly detection, troubleshooting, root-cause analysis, knowledge discovery, and engineering productivity.
  • Ability to provide clear technical direction and coordinate multiple stakeholders during business-critical and high-pressure production events.
  • Demonstrated ability to mentor engineers, influence engineering practices, and drive continuous improvement across production support, SRE, observability, automation, and platform reliability.

About the Company

Wells Fargo

Diversified financial services: banking, lending, investments

Wells Fargo offers a broad set of financial services, including banking, mortgages, investing, credit cards, and wealth and business banking, to individuals, small businesses, and large corporations. Its products combine everyday banking with lending, investment products, and advisory services, accessible through branches, ATMs, and online or mobile platforms. The company earns mainly from interest on loans, banking fees, and commissions on investment products, supported by a large network and secure technology. Its goal is to help customers manage, preserve, and grow their money through trusted, accessible, and comprehensive financial solutions.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1851

Recently Posted Jobs

Explore more opportunities at Wells Fargo

See more jobs