Sr. Software Engineer Python Full Stack with AI at Wells Fargo

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

0.0

Posted On

30 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Full-Stack Engineering, Automation, Testing, AI, Agentic Workflows, RAG, LLMs, React, Angular, Vue.js, REST APIs, Microservices, PyTest, CI/CD, Data Center Migration

Industry

Financial Services

Description

About this role: Wells Fargo is seeking a Senior Software Engineer. Wells Fargo is seeking a highly skilled Senior Python Full Stack Software Engineer with strong expertise in automation, testing, and enterprise application engineering. This role will work across home‑grown and COTS applications, building automation frameworks, developing test solutions, supporting large‑scale initiatives such as data center migrations, and driving vulnerability remediation efforts. In addition, the engineer will contribute to AI‑driven initiatives which may include building Agentic workflows, implementing Retrieval‑Augmented Generation (RAG), using Model Context Protocol (MCP), and enabling analytics‑driven insights across engineering processes based on business need. The ideal candidate is comfortable blending traditional software engineering with modern AI tools and methodologies. In this role, you will: 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 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. Desired Qualifications: Application Automation & Full‑Stack Engineering Design and build automation solutions for enterprise applications (home‑grown and COTS) using Python and modern frameworks. Develop backend services, REST APIs, microservices, and automation utilities. Build intuitive front‑end interfaces using frameworks like React, Angular, or Vue.js. Automate operational workflows, deployments, functional validations, and configuration checks. Test Development & Quality Engineering Build automated test frameworks (unit, integration, functional, regression) using Python tools such as PyTest, Robot Framework, or Playwright. Implement CI/CD‑integrated automated testing for application deployments and upgrades. Create synthetic data generation scripts and AI‑assisted test scenario creation. Conduct performance testing and reliability assessments for migrated or modernized applications. Data Center Migration & Application Modernization Partner with infrastructure, platform, and app owners to support data center migration activities. Build automation for environment validation, pre‑/post‑migration functional checks, and regression testing. Modernize legacy scripts, APIs, and workflows for cloud and container-based architectures. AI, Agentic & Intelligent Automation Solid understanding, which could later be used in building solutions involving predictive analytics, Large Language Models (LLMs), Generative AI, or agentic AI, neural networks (GNNs), Agentic AI solutions to automate multi‑step engineering workflows, implement RAG (Retrieval‑Augmented Generation), MCP (Model Context Protocol). Experience with AI frameworks like LangChain and LangGraph, libraries such as TensorFlow, PyTorch, Transformers, Hugging Face, and Scikit-learn. Apply AI/ML techniques for anomaly detection, intelligent test coverage, analytics, and predictive automation, Use AI‑powered tools (GitHub Copilot, MS Copilot, etc.) to enhance productivity, code generation, testing, and documentation. Collaboration & Technical Leadership Participate in design reviews, enforce engineering best practices, and ensure high-quality code delivery. Work with product owners, SMEs, and operations teams to translate requirements into technical solutions working with Lead and Principal engineers Job Expectations: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 6+ years of experience in full‑stack development with strong expertise in Python. Hands‑on experience with Django, Flask, or FastAPI. Strong front‑end experience with React, Angular, or Vue.js. Deep knowledge of test automation frameworks (PyTest, Robot, Selenium, Playwright). Expertise with enterprise automation, APIs, microservices, and CI/CD tools. Experience working with COTS applications and enterprise system integrations. Solid experience in analyzing and remediating application vulnerabilities. Working knowledge of Docker, Linux, Git, and cloud-ready development patterns. Practical experience using AI development tools (GitHub Copilot, MS Copilot, etc.). Experience with Agentic AI frameworks, RAG architectures, or MCP-based integrations. Background in data analytics, feature engineering, or ML pipeline development. Hands-on experience with data center or cloud migration projects. Experience with IaC (Terraform, Ansible), Kubernetes, and container orchestration. Familiarity with platforms such as ServiceNow, Splunk, SharePoint, or the Atlassian suite. Exposure to cloud platforms (Azure, AWS, GCP) and cloud-native development. Strong analytical and troubleshooting skills. Ability to work on cross-functional teams and manage complex engineering workflows. Excellent communication and documentation abilities. Strong ownership mindset and passion for automation and AI‑driven engineering. Posting End Date: 1 Apr 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. Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 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. 34 on Fortune’s 2024 rankings of America’s largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health, and a low-carbon economy. News, insights, and perspectives from Wells Fargo are also available at Wells Fargo Stories. Additional information may be found at www.wellsfargo.com LinkedIn: https://www.linkedin.com/company/wellsfargo For questions on how to search and apply, visit our frequently asked questions.

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Responsibilities

This role involves leading moderately complex technical initiatives, contributing to large-scale strategy planning, and designing, coding, testing, debugging, and documenting solutions across enterprise applications. The engineer will also contribute to AI-driven initiatives such as building Agentic workflows and implementing RAG.