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Java Lead Software Engineer - Morgan Money (AWM)

JPMorgan Chase

Java Lead Software Engineer - Morgan Money (AWM)

JPMorgan Chase

Columbus, OH, United States, US

·

On-site

·

Full-time

·

1mo ago

Required skills

Python

Java

Kafka

Machine Learning

Morgan Money has revolutionized liquidity trading across the firm serving our corporate clients in all regions to have next generation trading capabilities at their fingertips.

As a Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management (AWM), we are increasing our presence in Columbus and this is an opportunity to play a part in one of the most exciting technology agendas in the firm right now, as we look to grow the solution further by several flag-ship technology innovation streams. This is an opportunity to join the engineering team responsible for the platform supporting:

  • $31Bn average daily gross trading volume
  • In excess of 6700 active clients
  • Over $400Bn Assets under management

Job responsibilities

  • Confidently collaborates directly with Investment Teams, Traders, and Portfolio Managers, effectively bridging communication without relying on business analysts or Project Managers.
  • Thrives in a fast-paced environment, contributing to one of Asset Management’s most high-profile platforms.
  • Operates as part of an agile team, regularly deploying software updates to production and adjusting to the dynamic needs and scale of the business.
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Serves as a function-wide subject matter expert in one or more areas of focus
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
  • Develops secure and high-quality production code, and reviews and debugs code written by others.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Have excellent programming experience in Core Java
  • Implement TDD and BDD techniques, with a focus on leveraging mocking frameworks for effective testing
  • Demonstrate an understanding of IoC frameworks in Java, such as native Spring or Guice
  • Understand next generation messaging and streaming technologies such as Kafka, IBM MQ, Solace or Ignite
  • Strong grasp of engineering principles, including CI/CD, application resiliency, and security.
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (cloud, artificial intelligence, machine learning, etc.)
  • Overall knowledge of the Software Development Life Cycle

Preferred qualifications, capabilities, and skills

  • Have exposure to working with trading, FIX engines or related technologies.
  • Experience in smart contracts, Ethereum and digital wallets
  • Exposure to cloud technologies and certification
  • Python skills are highly desirable

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About JPMorgan Chase

JPMorgan Chase

JPMorgan 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

4.2

10 reviews

Work-life balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

Recommend to a friend

Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

55 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

2.8

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study