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Wells Fargo

Lead Systems Operations Engineer - CI/CD and GenAI

Reposted An Hour Ago
Be an Early Applicant
Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Mid level
Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Mid level
About this role:
Wells Fargo is seeking a Systems Operations Manager.
In this role, you will:
  • Manage a Systems Operations team of analysts that monitor installed systems and infrastructure
  • Engage stakeholders and internal partners associated with the Systems Operations functional area
  • Identify and recommend opportunities within Systems Operations to increase system efficiency and lower human intervention time on technical tasks
  • Make decisions and resolve issues regarding operating systems, application software, and system management tools to meet business objectives
  • Interpret and develop policies and procedures, and understand compliance and risk management requirements for supported system area
  • Collaborate and consult with analysts, Information Technology personnel, or vendors
  • Manage mid to highly experienced analysts
  • Manage allocation of people and financial resources for Systems Operations
  • Mentor and guide talent development of direct reports and assist in hiring
Required Qualifications:
  • 5+ years of Systems Engineering, and Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 2+ years of Leadership experience
Desired Qualifications:
  • Demonstrated experience driving toil reduction and operational efficiency through automation, workflow simplification, and process optimization initiatives.
  • Proven leadership or hands-on experience implementing automation solutions using scripting languages, orchestration tools, or low-code/no-code platforms within Systems or IT Operations environments.
  • Exposure to Generative AI-enabled operations, including the use of copilots, AI-assisted monitoring, chatbots, or analytics tools to enhance incident management, system monitoring, or knowledge management.
  • Strong ability to identify and prioritize opportunities where AI and automation can improve incident response, root cause analysis, predictive monitoring, and operational decision-making.
    Experience supporting large-scale, enterprise, or 24x7 production environments, ensuring high availability, reliability, and adherence to SLAs.
  • Working knowledge of IT operations frameworks such as ITIL, including incident, problem, change, and service management best practices.
  • Strong analytical and problem-solving skills, with a continuous improvement mindset focused on operational excellence, risk mitigation, and service quality.
  • Ability to translate operational metrics, risks, and insights into clear, actionable communication for senior leadership and stakeholders.
Job Expectations:
  • Experience driving toil reduction initiatives through automation, process optimization, or simplification of operational workflows
  • Hands-on or leadership experience implementing automation solutions using scripting, orchestration tools, or low-code/no-code platforms to reduce manual effort
  • Exposure to Generative AI technologies (such as copilots, AI-assisted operations, chatbots, or analytics tools) applied to Systems or IT Operations use cases
  • Ability to identify opportunities where AI or automation can improve system monitoring, incident response, root cause analysis, or knowledge management
  • Experience with resource planning, including staffing and budget management
  • Background supporting large-scale, enterprise, or 24x7 operational environments
  • Familiarity with IT operations frameworks such as ITIL, incident, problem, and change management
  • Strong analytical mindset with a focus on continuous improvement and operational efficiency
  • Strong analytical mindset with a focus on continuous improvement and operational efficiency
Posting End Date:
28 Apr 2026
*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Top Skills

AI
Configuration-As-Code
Grafana
Kubernetes
Ml
Observability Engineering
Openshift
Prometheus

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