Wells Fargo is seeking a Lead Specialty Software Engineer in Technology as part of Commercial and Corporate & Investment Banking Technology (CCIBT). This is an exciting opportunity to join the team building next-generation solutions for the Wells Fargo Capital Markets Technology organization. We are seeking a Lead Specialty Data Engineer to play a key role in our automation, AI adoption, and platform modernization journey. If you are passionate about solving complex, mission-critical problems using leading-edge technologies, advanced analytics, and AI-assisted engineering practices-grounded in strong software engineering fundamentals-this role is well suited for you.
In this role, you will help build and evolve strategic trading analytics data platforms, including the Low Touch Data Hub and the next-generation Equities Data & Analytics platform supporting all Equities Front Office trading groups. You will contribute to the design and delivery of scalable application frameworks and data services within Commercial and Corporate & Investment Banking Technology, enabling advanced analytics, AI-driven insights, and automation across the Equities trading lifecycle.
This role defines and governs enterprise-standard AI-assisted engineering patterns, including prompt-driven development, automated testing, diagnostics, documentation, and developer-productivity tooling. You will architect and guide controlled LLM integrations-such as MCP-based services-across development workflows, observability, and automation, while establishing guardrails to ensure secure, explainable, auditable, and compliant AI usage within electronic trading technology. In partnership with platform, security, risk, and compliance teams, you will ensure AI-enabled engineering practices meet Wells Fargo governance standards and continuously evaluate advances in GenAI, agentic AI, and applied ML to safely evolve engineering capabilities at enterprise scale.
This role supports a fast-paced Front Office equity trading environment, delivering senior-level software and analytics solutions for trading, automation, and decisioning. You will build AI-enabled analytics platforms and low-latency systems, apply AI-centric engineering practices, and write high-quality Java and Python code while partnering closely with traders, Strats, and quants. The role includes technical leadership, rigorous testing and reviews, production reliability ownership, and Level-2 support for performance, data, and model-driven issues.
Learn more about career areas and lines of business at wellsfargojobs.com.
In this role, you will
- Lead complex initiatives on selected domains
- 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
- Lead team to achieve objectives
- Partner with production support and platform engineering teams effectively
- 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 of Software Engineering experience, with a strong focus on data-intensive systems
- 5+ years of experience building analytics platforms, data services, or data-driven applications
- 5+ years of experience with algorithms and data structures, particularly as applied to analytics and data processing
- 4+ years of experience designing and implementing distributed data systems
- 4+ years of experience with time-series, relational, or analytical databases
- 4+ years of experience in Java for building high-performance backend and data services
- 4+ years of experience in Python for analytics, data processing, and automation
- Advanced experience in capital markets business processes
- Working knowledge of SEC, FINRA, and international regulatory considerations when building technology solutions
- Cash Equities and Global Markets trading workflow knowledge; FIX protocol experience
- Deep understanding of concurrency, memory management, and performance tuning in data-heavy systems
- Experience with application lifecycle management from design through production support, including AI-enabled or analytics-driven systems
- Strong understanding of distributed and client-server technology architectures
- Prior team lead and/or direct or matrix management experience
- Outstanding written and verbal communication skills appropriate for a Front Office environment
- BS/BA degree or higher
- This position is not eligible for Visa sponsorship
- Relocation assistance is not available for this position
- Position offers a hybrid work schedule
- 150 E 42nd St. New York, NY 10017
- 300 S Brevard St., Charlotte, NC 28202
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$159,000.00 - $305,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
26 Jul 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.
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.
#BI-Hybrid
Skills Required
- 5+ years of Specialty Software Engineering experience
- 5+ years of Software Engineering experience with focus on data-intensive systems
- 5+ years building analytics platforms, data services, or data-driven applications
- 5+ years experience with algorithms and data structures applied to analytics and data processing
- 4+ years designing and implementing distributed data systems
- 4+ years experience with time-series, relational, or analytical databases
- 4+ years Java experience for building high-performance backend and data services
- 4+ years Python experience for analytics, data processing, and automation
- Advanced experience in capital markets business processes
- Working knowledge of SEC, FINRA, and international regulatory considerations
- Cash Equities and Global Markets trading workflow knowledge; FIX protocol experience
- Deep understanding of concurrency, memory management, and performance tuning in data-heavy systems
- Prior team lead and/or direct or matrix management experience
- Outstanding written and verbal communication skills appropriate for a Front Office environment
- BS/BA degree or higher
Wells Fargo Compensation & Benefits Highlights
How does Wells Fargo ensure its pay and bonus plans are competitive?
Wells Fargo ensures its pay and bonus plans remain competitive through a structured, performance-driven compensation philosophy combined with regular market benchmarking. The company’s approach is centered on “pay for performance,” meaning compensation is directly linked to individual contributions, business results, and overall company performance. This includes evaluating how employees meet regulatory expectations, manage risk responsibly, and contribute to long-term value creation.
To maintain market competitiveness, Wells Fargo conducts global compensation reviews using third-party consultants. These reviews assess both base salary and total compensation across the organization, factoring in role, level, tenure, and geographic differences. The company also evaluates pay equity and has reported no significant unexplained pay gaps following its most recent review. This process ensures that compensation remains aligned with industry standards while reinforcing fairness and transparency.
Bonuses and incentives are designed to reward strong performance and support retention of top talent. Compensation programs are structured not only to motivate employees but also to promote prudent risk management and discourage excessive risk-taking—an important consideration in financial services. In addition to performance-based pay, employees benefit from a comprehensive rewards package that includes a 401(k) match (up to 6%), stock purchase opportunities, and other financial wellness resources.
Together, these practices create a compensation framework that balances competitiveness, fairness, and long-term sustainability—helping Wells Fargo attract, retain, and reward talent across its global workforce.
Employee Perspective
“Wells Fargo has given me the opportunity to pursue my master’s degree. With the tuition reimbursement and the support of my managers, I’ve been able to gain some really valuable skills.”
— Destinee Richey, Business Intelligence Consultant
At-a-Glance
- Compensation philosophy: Pay for performance tied to individual, business, and company outcomes
- Market alignment: Global benchmarking with third-party consultants; no significant unexplained pay gaps
- Bonus structure: Performance-based incentives aligned with results and risk management
- Total rewards: 401(k) match up to 6%, stock purchase plan, financial wellness resources
External Signals
- Comprehensive Benefits: Employees give the company high marks for its benefits package, giving it an ‘A-’ rating and a 73% satisfaction score on external review sites (Comparably).
- LinkedIn Top Companies 2025: #3 overall, #1 in financial services
- Disability Equality Index: 100% score (multiple years)
- CAREERS & the disABLED Top Employers 2024: #3 ranking
- Military Friendly Employer (2025): Top 10 Gold Seal
Wells Fargo Insights
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.1 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 once again ranked in the top three – making us the #1 financial services employer – on the 2025 LinkedIn Top Companies list of best workplaces “to grow your career” in the U.S. 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. We ranked in the top 3 on the 2025 LinkedIn Top Companies list – and #1 among financial services companies – as the best workplace “to grow your career” in the U.S.
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