トレンド企業

JPMorgan Chase
JPMorgan Chase

Global financial services firm

Software Engineer III - Backend Java Kubernetes

職種バックエンド
経験ミドル級
勤務地Singapore
勤務オンサイト
雇用正社員
掲載1ヶ月前
応募する

必須スキル

Java

SQL

Kubernetes

Git

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

Join our Software Engineering Group and elevate your career by solving business challenges with innovative practices. You'll leverage your expertise throughout the software development lifecycle and collaborate with stakeholders to achieve shared goals. Our culture values experimentation, continuous improvement, and diverse perspectives to create solutions that benefit our global customers. As part of the Foreign Exchange (FX) Services Technology Team, you'll develop cutting-edge applications and APIs for JP Morgan's currency overlay business, engaging directly with stakeholders to deliver comprehensive solutions in a dynamic environment.

As a Software Engineer III at JPMorgan Chase as a part of the Foreign Exchange (FX) Services Technology Team, we look first and foremost for people who are passionate around solving business problems through innovation and engineering practices.

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

  • Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities, and skills

  • Bachelor's degree in Computer Science or equivalent

  • Formal training or certification on engineering concepts and 3+ years applied experience in Java

  • Basic understanding of Kubernetes deployment platform

  • Hands-on practical experience in system design, application development, testing, and operational stability

  • Strong understanding of Object Oriented concept

  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

  • Proficient knowledge in OLAP application

Preferred qualifications, capabilities, and skills

  • Knowledge in Spring, Maven, Git, ReactJS, REST, SQL, and Jenkins is an advantage

  • Exposure to cloud technologies

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JPMorgan Chaseについて

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+

従業員数

New York City

本社所在地

$500B

企業価値

レビュー

10件のレビュー

3.8

10件のレビュー

ワークライフバランス

3.5

報酬

4.0

企業文化

3.8

キャリア

3.2

経営陣

2.8

68%

知人への推奨率

良い点

Good benefits and compensation

Supportive colleagues and environment

Flexible work arrangements

改善点

Long hours and heavy workload

Management issues and lack of direction

High stress and expectations

給与レンジ

44件のデータ

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1件のレポート

$139,000

年収総額

基本給

$107,000

ストック

-

ボーナス

-

$139,000

$139,000

面接レビュー

レビュー4件

難易度

3.0

/ 5

期間

14-28週間

内定率

50%

体験

ポジティブ 25%

普通 75%

ネガティブ 0%

面接プロセス

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

In-person/Final Interview

5

Offer

よくある質問

Behavioral/STAR

Past Experience

Culture Fit

Financial Knowledge

Case Study