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JPMorgan Chase
JPMorgan Chase

Global financial services firm

Lead Java Software Engineer in FX Payments tech

职能机器学习
级别Lead级
地点LONDON, United Kingdom
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

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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关于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+

员工数

New York City

总部位置

$500B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

3.5

薪酬

4.0

企业文化

3.8

职业发展

3.2

管理层

2.8

68%

推荐率

优点

Good benefits and compensation

Supportive colleagues and environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress and expectations

薪资范围

44个数据点

Mid/L4

Senior/L5

Mid/L4 · Applied AI ML Associate

2份报告

$188,500

年薪总额

基本工资

$145,000

股票

-

奖金

-

$182,000

$195,000

面试评价

4条评价

难度

3.0

/ 5

时长

14-28周

录用率

50%

体验

正面 25%

中性 75%

负面 0%

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

In-person/Final Interview

5

Offer

常见问题

Behavioral/STAR

Past Experience

Culture Fit

Financial Knowledge

Case Study