Senior Systems Operations Engineer at Wells Fargo
Bengaluru, karnataka, India -
Full Time


Start Date

Immediate

Expiry Date

16 May, 26

Salary

0.0

Posted On

15 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, LLMs, Puppet, Ansible, BigQuery, Hadoop, Linux, AIML, MLOps, Pyspark, Tableau, Microstrategy, Splunk, AppDynamics, GCP, Generative AI

Industry

Financial Services

Description
About this role: Wells Fargo is seeking a Senior Systems Operations Engineer. In this role, you will: Lead or participate in managing all installed systems and infrastructure within the Systems Operations functional area Contribute in increasing system efficiencies and lowering the human intervention time on related tasks Review and analyze moderately complex operational support systems, application software, and system management tools to ensure the highest levels of systems and infrastructure availability Work with vendors and other technical personnel for problem resolution Lead team to meet technical deliverables while leveraging solid understanding of technical process controls or standards Collaborate with vendors and other technical personnel to resolve technical issues and achieve highest levels of systems and infrastructure availability Required Qualifications: 4+ 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: Experience as Site Reliability Engineer Knowledge/experience on developing automated solutions using Python Hands on knowledge about LLMs/ leveraging LLM/ supporting LLM based solutions Knowledge/experience of Puppet/Ansible. Big data experience needed (Big Query, Hadoop) Linux O/S capabilities Experience in AIML area (MLOps) Pyspark experience Experience with Tableau/ MicroStrategy or similar BI tools Strong experience with monitoring systems such as Splunk, App Dynamics. Working knowledge of Auto ML technologies such as H2O Driverless AI, DataRobot, VertexAI, Elastic and Vector DB Good understanding and hands on with GCP Excellent verbal, written, and interpersonal communication skills. Ability to articulate technical solutions to both technical and business audiences Recent and demonstrated ability to influence management on technical or business solutions Working knowledge of design and build grid computing with CPU and GPU supporting AIML and NLP Working knowledge of high-performance storage technologies along with Object Storage Knowledge and understanding of network infrastructure to support high throughput and low latency grid computing. Willing to work in shifts Experience in LLM , Generative AI (dev/ops). Experience in Elastic Search, Vector Database would be added benefit. Experience with data processing technology (AbInitio, Informatica, IBM DataStage) Experience with large data technology (Hadoop, Teradata, Elasticsearch, etc.) Understanding of Agile practices and ability to work with Agile teams to define and track user stories Experience with implementing complex F5 or other Load Balancer Technologies Working knowledge of building high resiliency grid/cloud computing infrastructure supporting AIML and NLP workloads Knowledge and understanding of Cloud computing, PaaS design principles and micro services and containers Working knowledge/experience with Azure and/or GCP Working knowledge/experience with on-premise and Public Cloud technologies, such as Cloud Foundry, Kubernetes, Docker Experience in facilitating analysis of current systems and problem identification and resolution Ability to facilitate technically complex discussions and working sessions in person or via teleconference Job Expectations: Participate in development of Generative AI Platform Capabilities Responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP, Azure ML) Participate in day-to-day scrum calls for platform capability build Research industry best practices, evaluate new technologies, develop standards and engineering best practices and recommend innovative solutions that support automation and improve platform resiliency and fault tolerance of critical applications Execute on roadmaps that align with technology and business strategy. Perform hardware and capacity planning, analysis and forecasts for your portfolio of applications with focus on highest availability, scalability, performance, and timely delivery Act as an expert resource for other technical teams within DTI Deliver day-to-day Application/Platform support services for Digital, AI/ML Platforms Responsible for support functions and driving the execution of multiple Application/Platform support services including incident triage, root cause analysis, change evaluation-execution-validation, deployment management, and risk & vulnerability management. Provides on-call production support of Mission Critical applications and resolve issues with in RTO. Ensure effective production systems monitoring, alarming and notification response/maintenance. Leverage diagnostic tools to maintain, troubleshoot and restore service or data to systems Structure Operational data and come up with creative data visualization solutions (Build Dashboards) Automate Production support routines leveraging AI Maintain and update support documentation (e.g. game plans, run books, procedures, and process). Communicate, co-ordinate and collaborate with multiple support teams and stakeholder. Posting End Date: 21 Feb 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. Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 34 on Fortune’s 2024 rankings of America’s largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health, and a low-carbon economy. News, insights, and perspectives from Wells Fargo are also available at Wells Fargo Stories. Additional information may be found at www.wellsfargo.com LinkedIn: https://www.linkedin.com/company/wellsfargo For questions on how to search and apply, visit our frequently asked questions.

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Responsibilities
The role involves leading or participating in managing installed systems and infrastructure, focusing on increasing system efficiencies and reducing human intervention time on related tasks. Responsibilities also include participating in the development of Generative AI Platform Capabilities and executing roadmaps aligned with technology and business strategy.
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