Jobs
Required skills
Java
Machine Learning
If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.
- As a Principal Software Engineer at JPMorgan Chase within the Home Lending
- Servicing Platform, you will have the opportunity to showcase your expertise and engineering excellence. Being an integral part of an agile team, you will enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. This role allows you to leverage your advanced technical capabilities and collaborate with colleagues across the organization, promoting best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.
Job responsibilities
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Creates complex and scalable coding frameworks using appropriate software design frameworks
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Sets up and manags POC's to evaluate the feasibility and impact of new technologies and methodologies, ensuring alignment with business goals and technical requirements
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Leads AI innovation initiativese by identifying opportunies to integrat artificial intelligence into existing and new products, enhancing the firm's technological capabilities
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Drives the adoption of best practices in software development and AI integration, ensuring high standards of quality, security, and efficiency are maintained across all projects
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Explores and develop strategies for the implementation of cutting-edge technologies across the organization, ensuring they align with the firm's long-term objective
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Advises cross-functional teams on technological matters within your domain of expertise
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Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
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Creates durable, reusable software frameworks that are leveraged across teams and functions
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Influences leaders and senior stakeholders across business, product, and technology teams
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Champions the firm’s culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
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Formal training or certification on software engineering concepts and 10+ years applied experience
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Hands-on practical experience delivering system design, application development, testing, and operational stability
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Expert in Java programming language
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Strong skillset in AI
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Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
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Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
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Experience within cloud technologies
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Ability to present and effectively communicate with Senior Leaders and Executives
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Understanding of the business
Preferred qualifications, capabilities, and skills
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AWS Certifications
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Artificial Intelligence Certifications
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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
3.8
10 reviews
Work-life balance
3.2
Compensation
4.1
Culture
3.8
Career
3.0
Management
2.5
65%
Recommend to a friend
Pros
Good benefits and compensation
Supportive and collaborative environment
Flexible work arrangements
Cons
Long hours and heavy workload
Management issues and lack of direction
High stress during peak times
Salary Ranges
41 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
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
40%
Experience
Positive 20%
Neutral 80%
Negative 0%
Interview process
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Interview
6
Offer
Common questions
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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