
Global financial services firm
Lead Software Engineer - Engineering Advocacy Lead
Required skills
Machine Learning
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software engineer at JPMorgan Chase within the Commercial and Investment bank, Payments Engineering & Architecture team, you're responsible for how 10,000 Payments engineers adopt architecture standards and AI-assisted development practices. You won't do this from a distance - you'll be embedded with teams, writing code, running gemba walks, presenting at tech talks, and writing blogs. Advocacy through action, not announcements. Payments moves $10 trillion every day for the world's leading companies - the engineering challenges are real, and so is the opportunity to shape how we build.
Job responsibilities
- Embeds within Payments application teams as a contributing engineer, committing real changes to production codebases
- Pairs with engineers to solve complex problems and model best practices in architecture, code quality, and operational excellence
- Conducts gemba walks across teams to understand real challenges, build relationships, and identify opportunities for improvement
- Identifies patterns that work and helps teams adopt them while spotting anti-patterns early and coaching toward better solutions
- Connects dots across teams, sharing what's working in one area with others to accelerate learning
- Contributes to architecture standards that are practical and grounded in real implementation experience
- Presents at weekly tech talks to share learnings, new approaches, and emerging technologies
- Writes blogs and educational content that helps engineers learn (authentic, practical, accessible)
- Champions AI-assisted development including GitHub Copilot, Claude Code, and emerging tools
- Adds to team culture of diversity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Track record of influencing engineering practices beyond your immediate team
- Experience working across multiple teams or as a technical lead in a large corporate environment
- Evidence of teaching, mentoring, or community contribution (internal or external) including presentations, blogs, or training
- Demonstrated ability to explain complex technical concepts simply to diverse audiences
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Curiosity-driven approach to learning new technologies and tools
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, distributed systems, etc.)
- Strong written and verbal communication skills with experience creating technical content
Preferred qualifications, capabilities, and skills
- Experience with AI-assisted development tools such as GitHub Copilot, Claude Code, or similar
- Familiarity with Payments domain or high-volume transaction processing systems
- Experience conducting architecture reviews or serving in an advisory capacity across teams
- Track record of public speaking at meetups, conferences, or internal tech talks
- Experience writing technical blogs or educational content
- Ability to adapt to fast-paced environment with changing requirements while maintaining focus on engineering excellence
- Comfort with ambiguity and a bias toward action over perfection
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
Employees
New York City
Headquarters
$500B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
3.5
Compensation
4.0
Culture
3.8
Career
3.2
Management
2.8
68%
Recommend to a friend
Pros
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
Cons
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
Salary Ranges
44 data points
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2 reports
$188,500
total per year
Base
$145,000
Stock
-
Bonus
-
$182,000
$195,000
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
50%
Experience
Positive 25%
Neutral 75%
Negative 0%
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
Common questions
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
Latest updates
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