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Senior Systems Operations Engineer

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
India , Bengaluru

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Category:
IT - Administration

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Wells Fargo is seeking a Senior Systems Operations Engineer.

Job Responsibility:

  • 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
  • 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.

Requirements:

  • 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.
  • 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

Additional Information:

Job Posted:
February 16, 2026

Expiration:
February 21, 2026

Employment Type:
Fulltime
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