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JPMorgan Chase
JPMorgan Chase

Global financial services firm

Lead C++ Software Engineer, Equities Trading Technologies

직무모바일
경력리드급
위치Singapore
근무오피스 출근
고용정규직
게시6개월 전
지원하기

필수 스킬

Python

Kotlin

Linux

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank, your role will be pivotal in an agile team. You will be tasked with enhancing, architecting, and delivering high-quality technology products in a secure, stable, and scalable manner. As a significant technical contributor, your responsibilities will encompass developing essential technology solutions across diverse technical domains within various business functions, all aimed at bolstering the firm's business objectives.

Job Responsibilities

  • Develop high-quality scripts and code modifications to support the application

  • Execute and automate the release process and manage changes for applications and environments.

  • Actively contribute to the engineering community by advocating firmwide frameworks, tools, and Software Development Life Cycle practices.

  • Coordinate with infrastructure, platform, and application subject matter experts to promote reliability through communication and sharing best practices.

  • Investigate issues reported by Production Management

Required Qualifications, Capabilities, and Skills

  • Formal training or certification in engineering concepts with 5+ years of applied experience

  • Bachelor’s degree in Computer Science or equivalent

  • Proficiency in C/C++ development; knowledge of Kotlin/Python is advantageous.

  • Ability to independently address design and functionality problems with minimal oversight, managing tasks from requirements gathering to deployment and maintenance.

  • Proficient with configuration management, build tools, and continuous integration environments such as Jenkins.

  • Experience in identifying problem or opportunity areas, developing and implementing necessary fixes and changes, and championing new technologies/processes from design to production.

  • Expertise in implementing and managing high-availability infrastructure solutions with automatic failover, and designing, building, and troubleshooting large-scale distributed systems.

  • Effective collaboration with teams such as Site Reliability Engineering, Product Management, DevOps, and Lead Software Engineers, and experience in mentoring and guiding team members constructively across various disciplines.

  • Demonstrated proficiency in application development and support for associated infrastructure, with experience primarily in trading-based applications in Linux.

Preferred Qualifications, Capabilities, and Skills

  • Experience with Electronic Trading and FIX protocol necessary

  • Knowledge of equities, futures, and options exchange connectivity in global markets is desirable

  • Experience with monitoring tools such as Splunk and Grafana.

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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

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1개 리포트

$139,000

총 연봉

기본급

$107,000

주식

-

보너스

-

$139,000

$139,000

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