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:
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
Desired Qualifications:
5+ years in strong engineering skills.
Expertise in
Python, PySpark,
and
Object-oriented programming
.
Strong experience in designing and building
Rest APIs
using python (Django Rest Framework is added advantage).
Excellent experience with
AirFlow
DAGs, workflow orchestration
Experience with
Multiprocessing, Multithreading, asynchronous modules and building asynchronous APIs
.
Good experience with
Kubernetes to build open shift container platform
.
Excellent troubleshooting and debugging skills
Collaborate strongly with business teams to understand the business problems and provide technical solutions
Design and build reusable solutions in data work stream of model development life cycle.
Strong in data science python libraries like
Pandas
,
NumPy,
Pyarrow, SciPy
.
Solid understanding of distributed computing and GCP
Good skills in PySpark, Object storage and distributed computing.
Good banking domain skills and depth knowledge in risk domain.
Good understanding of data models, relationship among the data.
Strong analytical and problem-solving skills.
Experience in source control using GitHub.
Excellent verbal, written, and interpersonal communication skills
Should possess excellent communication skills, able to multitask and have a great team spirit.
Bachelor's degree in engineering (CS/Math/Electronics/Electricals) from top universities like IIT, NIT and other reputed institutes.
Should be able to take ownership and accountability.
Should have good leadership skills to collaborate and add value at enterprise solution.
Job Expectations:
Agile/Scrum software development methodologies and processes
Understanding of Python code automatic deployment process ( GitHub actions, Harness )
Good end to end understanding of platform build and maintenance
Understanding the python-based IDEs like pycharm, Visual studio code and Jupyter notebook etc
Good understanding of Kafka and RabbitMQ
Understanding GenAI use cases, identify and automate them in the project.
Risk models understanding and rewrite them effectively using Python technology
Lead discussion with business, architect team, and other partners to understand the business problems and provide technical solution
Quickly assess different tools and present the right tools for the business use cases pros and cons.
Design and develop the technical solution using Python, PySpark, Openshift container platform (OCP), GCP CICD pipelines, GITHUB etc
Design and maintain operational databases for a application metadata, airflow metadata, iceberg catalog metadata
Own and led complex and critical modules in data exchange ( Ingress and Egress)
Strong experience using the development ecosystem of applications (JIRA, ALM, GitHub, uDeploy(Urban Code Deploy), Jenkins, Artifactory, SVN, etc...)
Posting End Date:
27 Jul 2025
*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 .
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Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
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b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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