About this role:

Wells Fargo is seeking a Senior Software Engineer - Python, Pyspark

In this role, you will:

• • Lead complex technology initiatives including those that are companywide with broad impact
  • Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
  • Design, code, test, debug, and document for projects and programs
  • Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
  • Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
  • Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
  • Lead projects, teams, or serve as a peer mentor

Required Qualifications:

• • 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
  • Strong expertise in Python with React / angular, with deep hands‑on experience in distributed data processing.
  • Hands-on experience in using Copilot AI tool for development and testing.

Desired Qualifications:

• • 4+ years of experience in software or data engineering, including leading complex systems in regulated environments or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Proven experience designing and operating large‑scale systems using PySpark, Flink and Hadoop, or similar big data technologies.
  • Strong understanding of data architecture, metadata management, and performance optimization.
  • The candidate should be well‑versed in Machine Learning (ML) and Artificial Intelligence (AI) concepts, including different Generative AI models, Model Context Protocol (MCP), and agentic frameworks and flows
  • Demonstrated ability to lead technical design discussions and influence engineering decisions across teams.
  • Solid experience working with enterprise controls, data quality frameworks, and production support models.
  • Hands‑on experience with cloud‑based data platforms (Azure preferred, AWS/GCP acceptable).
  • Experience with CI/CD pipelines, DevOps practices, and platform modernization initiatives.
  • Strong communication skills with the ability to influence senior stakeholders and cross‑functional teams.

Job Expectations:

• • We are open for both the locations - Hyderabad or Bangalore and will be required to work in the office as per organizations In Office Adherence / Return To Office (RTO)
  • Deliver high-quality engineering outcomes during Data Center exit migrations and DPC onboarding, ensuring validations, automation, and production readiness.
  • Collaborate with cross-functional teams to build scalable, high‑performance data solutions using Python, SQL, Spark and Autosys.
  • Provide insights, bring ideas, and best practices into the operating model and delivery
  • Actively engage in building technology and SME skills within the team
  • Accountability and ownership for work done out of the India team that this role leads.

Posting End Date: 

*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.