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职位JPMorgan Chase

Lead Software Engineer-AWS/Full Stack/Java/Spring/React

JPMorgan Chase

Lead Software Engineer-AWS/Full Stack/Java/Spring/React

JPMorgan Chase

Seattle, WA, United States, US

·

On-site

·

Full-time

·

2w ago

This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.

As a Lead Software Engineer-AWS/Full Stack/Java/Spring/React at JPMorgan Chase within the Consumer & Community Banking's Partner Channel team, you will be a key member of a team responsible for designing and building tools and platforms, and conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Design and deliver high quality features that complies with standards and satisfies architectural tests.
  • Build solutions that provide delightful partner experiences and help identify opportunities to develop partner solutions that are broadly applicable while expanding our customer value proposition.
  • Gain experience in application design, solutions architecting, development and testing will be required to set strategic technical direction and solve complex problems.
  • Ensure that partner solutions are elegant, resilient, easy to integrate with and of the highest standards.
  • Help build proof-of-concept & simulation applications to validate and test partner solutions being built by other engineering teams.
  • Lead engineering teams to execute and deliver on business, product and technology driven initiatives.
  • Work within the intersection of business strategy and technical execution, so your experience understanding product roadmaps and business goals will be critical. Play an integral role in making sure that partner initiatives are developed in accordance with firm-wide risk & architecture guidelines.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Proficiency in multiple modern programming languages in particular, the Java/J2EE stack
  • Experience with building APIs
  • RESTful APIs, Web Services, Spring Boot
  • Working knowledge of RDBMS, SQL, NoSQL.
  • Experience with Cloud technologies (AWS, Google Cloud).
  • Experience with CI/CD tools like Jenkins, Version Control tools (Bit Bucket, Git)
  • Strong coding fundamentals – Algorithms & Data Structures
  • Strong experience in Angular JS, React and/or Java

Script UI development:

Preferred qualifications, capabilities, and skills

  • Advanced knowledge of architecture & application design processes.
  • Experience with Jira and Confluence
  • Experience working in a fast-paced Agile environment
  • Passion for automating & excelling at identifying gaps in processes
  • Strong bias for action; ability to take ownership and think long-term.
  • Excellent analytical, organizational and problem-solving skills coupled with a strong work ethic

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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

3.8

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

3.8

职业发展

3.0

管理层

2.5

65%

推荐给朋友

优点

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

薪资范围

41个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1份报告

$139,000

年薪总额

基本工资

$107,000

股票

-

奖金

-

$139,000

$139,000

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

40%

体验

正面 20%

中性 80%

负面 0%

面试流程

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

常见问题

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study