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JPMorgan Chase
JPMorgan Chase

Global financial services firm

Lead Java Software Engineer in FX Payments tech

직무머신러닝
경력리드급
위치LONDON, United Kingdom
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

Java

Kafka

Machine Learning

Join us to shape the future of payments technology and make a real impact on your career. As part of our agile team, you’ll help build trusted solutions that power global transactions. You’ll have the opportunity to grow your skills, collaborate with talented colleagues, and contribute to a culture of inclusion and respect. We value creativity, technical excellence, and your unique perspective. Discover how you can push the limits of what’s possible with us.

As a Lead Software Engineer in Wholesale Payments, FX Payments Tech, you will play a pivotal role in designing and delivering secure, scalable technology products. You will work closely with cross-functional teams to drive critical solutions that support our business objectives. You’ll lead technical initiatives, foster innovation, and help shape our team’s culture. Your expertise will enable us to build reliable systems that meet the evolving needs of our clients. You will be empowered to make a difference every day.

Job Responsibilities:

  • Execute creative software solutions, design, development, and technical troubleshooting
  • Develop secure, high-quality production code and review and debug code written by others
  • Identify opportunities to automate remediation of recurring issues and improve operational stability
  • Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials
  • Drive outcomes-oriented probing for applicability within existing systems and information architecture
  • Lead communities of practice across Software Engineering to promote awareness and adoption of new technologies
  • Add to team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills:

  • Bachelor’s or Master’s degree in computer science
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Advanced proficiency in one or more programming languages
  • Proficiency in automation and continuous delivery methods
  • Skilled in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies, including CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile)
  • In-depth knowledge of the financial services industry and IT systems
  • Practical cloud native experience

Preferred Qualifications, Capabilities, and Skills:

  • Experience with Java 21
  • Familiarity with Spring framework and Spring Boot
  • Knowledge of RDBMS and NoSQL databases
  • Experience with Kafka
  • Expertise in microservices architecture
  • Ability to leverage AI tools like MCP servers and Claude to enhance productivity

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JPMorgan Chase 소개

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+

직원 수

New York City

본사 위치

$500B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

3.5

보상

4.0

문화

3.8

커리어

3.2

경영진

2.8

68%

지인 추천률

장점

Good benefits and compensation

Supportive colleagues and environment

Flexible work arrangements

단점

Long hours and heavy workload

Management issues and lack of direction

High stress and expectations

연봉 정보

44개 데이터

Mid/L4

Senior/L5

Mid/L4 · Applied AI ML Associate

2개 리포트

$188,500

총 연봉

기본급

$145,000

주식

-

보너스

-

$182,000

$195,000

면접 후기

후기 4개

난이도

3.0

/ 5

소요 기간

14-28주

합격률

50%

경험

긍정 25%

보통 75%

부정 0%

면접 과정

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

In-person/Final Interview

5

Offer

자주 나오는 질문

Behavioral/STAR

Past Experience

Culture Fit

Financial Knowledge

Case Study