Senior Lead Systems Operations Engineer - Mainframe
Wells Fargo
- Location
- Hyderabad, India
- Work model
- On-Site
- Level
- Senior
- Posted
- Aug 27, 2026
Skills
About this role
Job Description
About this role: Wells Fargo is seeking a Senior Lead Systems Operations Engineer In this role, you will: Act as an advisor to senior leadership to develop or influence platform support solutions for highly complex business and technical needs or technology initiatives Lead highly complex, broad impact initiatives including provision of high-level systems consultation for the technology teams related to large scale planning of computer systems and network infrastructure for Systems Operations functional areas Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking Translate advanced technology experience, in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions Provide vision, direction and expertise to senior leadership on implementing innovative and significant business solutions Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership Provide training and mentoring to less experienced team members on guidebook changes and lead team to meet technical deliverables, while leveraging solid understanding of technical process controls or standards Required Qualifications: 7+ 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 Qualifications: Mainframe technologies support/operations experience or exposure. Technical experience/exposure working with Mainframe technologies, etc. and basic IBM utilities. Understanding of payment processing on a large scale. Experience/Exposure using monitoring tools (example: Splunk, AppDynamics, Grafana, Geneos ITRS etc.) Familiarity with ServiceNow for incident, problem, and change management (opening incidents, reviewing changes, documenting records). Excellent leadership, verbal, written, and interpersonal communication skills. Experience with change management. Understanding of Site Reliability Engineering (SRE) principles, with hands-on experience applying them Experience with Mainframes with below technical skills Operating Systems MVS z/OS Windows OS Programming / Languages COBOL JCL CICS Databases DB2 VSAM IMS DB Stored Procedures Tools SPUFI QMF PLATINUM XPEDITOR Version Control ENDEVOR Scheduler CA‑7 Application Services MQ NDM Job Expectations: Forward thinking and innovative to identify and implement best practices/procedures. Ability to independently run incident recovery calls (incident management) and review changes to mitigate risk. Coordination with Vertical Application Support Teams: Partner with application owners and support teams to understand system architecture, performance baselines, and critical business transactions. Process improvement: Optimize alerts, incident reductions, and reports to provide actionable insights. Automation and Scripting: This includes scripting using REXX. Develop automation scripts using REXX to avoid manual work. SQL and Data Analysis Use SQL to extract, analyze, and correlate data from monitoring platforms and application databases. Support root cause analysis and performance tuning through data-driven insights. Incident Response and Continuous Improvement: This includes managing incidents and changes effectively. Participate in incident triage and post-mortem analysis to identify observability gaps. This includes