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Wells Fargo
Wells Fargo

Leading company in the financial services industry

Lead Specialty Software Engineer - Capital Markets Reference Data

职能工程
级别Lead级
地点CHARLOTTE, New Caledonia, United States
方式现场办公
类型全职
发布1周前
立即申请

About this role:

Wells Fargo is seeking a Lead Specialty Software Engineer to join our Corporate and Investment Banking Technology team. This strategic role centers on modernizing and expanding our Reference Data Platform, a critical application supporting Capital Markets business & trading. You will lead the architecture, design, and development of high-performance systems for ingesting, mastering, and distributing financial instruments reference data - requiring deep hands-on expertise in scalable data processing and distributed systems. The ideal candidate will have strong experience in distributed systems development, accelerated delivery leveraging agentic AI tools, and a proven ability to lead initiatives while ensuring operational excellence, risk management, and regulatory compliance.

In this role, you will:

  • Lead complex initiatives on selected domains, delivering scalable and resilient solutions.

  • Accelerate development velocity by leveraging agentic AI tools across the team's engineering workflows.

  • Champion data quality and governance practices including golden-source determination, cross-vendor reconciliation, and data lineage tracking across the reference data platform.

  • Ensure systems are monitored to increase operational efficiency and managed to mitigate risk.

  • Define opportunities to maximize resource utilization and improve processes while reducing cost.

  • Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies.

  • Resolve coding, testing and escalated platform issues of a technically challenging nature.

  • Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives.

  • Mentor less experienced software engineers.

  • Collaborate and influence all levels of professionals including managers.

Required Qualifications:

  • 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

  • 5+ years designing and implementing distributed systems using Java with expertise in memory management, concurrency, JMS, and native I/O

  • 3+ years of Java 17+, including modern features like Streams API, records, and enhanced concurrency

  • 3+ years of implementing microservices, preferably using Spring ecosystem (Boot, Batch and/or Data)

  • 3+ years of SQL experience including complex query optimization

  • 2+ years of experience building event-driven architectures using Kafka, Solace, etc.

Desired Qualifications:

  • Experience building cloud-ready solutions with Azure, GCP or Open Shift.

  • Experience developing data APIs exposed via API gateways

  • Experience with CI/CD pipelines (Harness, GitHub Actions, or similar) and automated testing frameworks (JUnit, Mockito)

  • Demonstrated knowledge of LLMs, prompt engineering techniques, context engineering, and spec-driven development

  • Domain expertise in Financial Instrument Reference Data including integration with market data vendors

  • Proven track record in developing low-latency, high-reliability applications for financial services or trading platforms

  • Experience using distributed caching technologies (Apache Ignite, Redis, Coherence)

  • Experience with Python (pandas, Py Spark, or similar) for data transformation, enrichment, and data mastering workflows

  • Experience implementing rule-based data mastering systems

  • Front-end development experience with React

  • Well versed in Agile development strategies and ceremonies, Test Driven Development & DevOps practices

  • Strong foundation in object-oriented analysis and design, algorithms, and data structures

  • Excellent analytical and communication skills

  • Lead team to achieve objectives

  • Partner with production support and platform engineering teams

Job Expectations:

  • Develop and deliver software for Reference Data platform components as a hands-on individual contributor

  • Collaborate with Product Owners and business users to translate requirements into functional and technical specifications

  • Analyze and refactor legacy systems to align with a scalable microservice architecture

  • Design and document current-state and target-state architectures for platform modernization initiatives

  • Write high-quality, performant Java code applying object-oriented principles and proven design patterns

  • Conduct thorough unit and functional testing; document all development activities per team standards

  • Ensure quality, maintainability, and extensibility of supported systems and risk applications

  • Build resilient applications requiring near zero production support

  • Ramp quickly on new business domains within Capital Markets technology

  • Leverage agentic AI tools to accelerate delivery and maintain high code quality

  • Identify opportunities to improve engineering processes and propose solutions using AI technologies

Posting Location:

  • 300 S Brevard St., Charlotte, NC 28202

Posting End Date:

29 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.

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关于Wells Fargo

Wells Fargo

Wells Fargo & Company is an American multinational financial services company. The company operates in 35 countries and serves more than 70 million customers worldwide.

10,001+

员工数

San Francisco

总部位置

$163B

企业估值

评价

10条评价

3.7

10条评价

工作生活平衡

3.8

薪酬

3.2

企业文化

3.9

职业发展

3.1

管理层

3.4

72%

推荐率

优点

Good benefits and health coverage

Flexible schedules and work arrangements

Supportive team environment

缺点

Limited career advancement opportunities

High stress and overwhelming workload

Poor management and lack of direction

薪资范围

16个数据点

Mid/L4

Senior/L5

Mid/L4 · Lead Analytics Consultant

1份报告

$151,878

年薪总额

基本工资

$116,064

股票

-

奖金

-

$151,878

$151,878

面试评价

4条评价

难度

3.0

/ 5

时长

21-35周

录用率

25%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Behavioral Interview

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience