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Senior Software Engineer

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
India , Bengaluru

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Category:
IT - Software Development

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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 Software Engineer.

Job Responsibility:

  • Lead moderately complex initiatives and deliverables within technical domain environments
  • Contribute to large scale planning of strategies
  • Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
  • Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
  • Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
  • Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
  • Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Requirements:

  • 8+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Experience in Software Engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Bachelor’s degree in Engineering / MCA
  • Proven technical experience and product delivery ownership
  • Strong software development experience in C#, .NET Core, REST/Web API, and other Microsoft technologies
  • Experience developing scalable, distributed applications
  • Experience working with relational and non-relational databases – preferably in the cloud
  • Experience working with asynchronous, event-driven, and messaging systems
  • Experience working in Azure/AWS/Google Cloud and containerization technologies
  • Understanding and application of Kubernetes is preferable
  • Good understanding of operating systems (Windows and Linux) and virtualization
  • Working knowledge of AI/ML fundamentals (basic concepts, model lifecycle, limitations, evaluation)
  • Experience integrating AI capabilities into applications using APIs/SDKs (e.g., Azure OpenAI/OpenAI/AWS/GCP AI services)
  • Practical understanding of LLM usage patterns: prompt design basics, output validation, and guardrails
  • Familiarity with common AI application architectures (e.g., Retrieval-Augmented Generation/RAG conceptually) and when to use them
  • Ability to build AI-enabled features such as summarization, classification, extraction, Q&A, and conversational assistants
  • Awareness of responsible AI practices: privacy, security, bias considerations, safe handling of data, and compliance basics
  • Understanding of operational considerations for AI in production (latency/cost considerations, monitoring, fallback strategies, human-in-the-loop)
  • Exposure to vector search / embeddings concepts and related storage options is a plus (not mandatory)
  • Experience in Software Engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education (for Europe, Middle East & Africa only)

Additional Information:

Job Posted:
February 18, 2026

Expiration:
February 18, 2026

Employment Type:
Fulltime
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