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:
14 Oct 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.
Skills Required
- 4+ years of software engineering experience, or equivalent experience, training, military experience, or education
- Strong expertise in Python with React or Angular
- Deep hands-on experience in distributed data processing
- Hands-on experience using Copilot AI for development and testing
- 4+ years of software or data engineering experience, including leading complex systems in regulated environments, or equivalent
- Experience designing and operating large-scale systems using PySpark, Flink, Hadoop, or similar big data technologies
- Understanding of data architecture, metadata management, and performance optimization
- Knowledge of machine learning, artificial intelligence, Generative AI models, Model Context Protocol, and agentic frameworks and flows
- Ability to lead technical design discussions and influence engineering decisions across teams
- Experience with enterprise controls, data quality frameworks, and production support models
- Hands-on experience with cloud-based data platforms, preferably Azure
- Experience with CI/CD pipelines, DevOps practices, and platform modernization initiatives
- Strong communication skills and ability to influence senior stakeholders and cross-functional teams
Wells Fargo Compensation & Benefits Highlights
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Retirement Support — Retirement offerings are highlighted by a strong 401(k) with employer matching and added options like after‑tax contributions and an employee stock purchase plan, supporting long‑term savings. These features are presented as competitive elements of the total rewards package.
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Healthcare Strength — Medical, dental, and vision coverage are described as comprehensive, often starting on day one for eligible employees, with HSAs/FSAs, wellness incentives, and mental health resources available. Specialized care options, including fertility support, further enhance the health offering.
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Parental & Family Support — Paid parental leave of notable duration is available from the start of employment, alongside adoption/surrogacy/fertility programs. Caregiving and backup care resources deepen the family-oriented support.
Wells Fargo Insights
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 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. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it — Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
Why Work With Us
We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”
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