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职位JPMorgan Chase

Lead Software Engineer – Cloud Quality Engineering – Java / AWS

JPMorgan Chase

Lead Software Engineer – Cloud Quality Engineering – Java / AWS

JPMorgan Chase

New York, NY, United States, US

·

On-site

·

Full-time

·

3mo ago

必备技能

Python

Java

AWS

Docker

Kubernetes

Git

Kafka

Job Description

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

As a Vice President, Software Engineer at JPMorgan Chase within the Cloud Quality Engineering team, you will promote the strategy, execution, and delivery of automated quality solutions for our cloud-native platforms.

Job Responsibilities

  • Lead and inspire a team of software and QA engineers, fostering a culture of innovation, collaboration, and continuous improvement.
  • Define and execute the quality engineering strategy for cloud-native applications, aligning with firmwide technology goals.
  • Architect and oversee the development of automated test frameworks and solutions using Java and Spring Boot.
  • Drive adoption of service virtualization (Wiremock, Hoverfly, Lisa) and REST API test automation across the organization.
  • Guide technical delivery for UI/mobile automation, database, ETL, and batch testing processes.
  • Integrate AWS services (EC2, S3, Lambda, etc.) and Kafka messaging into enterprise automation pipelines.
  • Establish performance testing standards and oversee execution using JMeter, Blaze Meter, or similar tools.
  • Partner with senior stakeholders in Technology and Business to embed automation into CI/CD workflows and deliver high-quality solutions.
  • Represent the team in technical forums, contributing to best practices and technology strategy across the firm.

Required Qualifications, Capabilities, and Skills

  • Formal training or certification in Software Engineering concepts and 5+ years applied experience, with a focus on automation, cloud, and quality.
  • Demonstrated leadership experience managing engineering teams and driving strategic initiatives.
  • Deep expertise in Java (Spring Boot), AWS cloud services, and REST API automation.
  • Experience with service virtualization tools (Wiremock, Hoverfly, Lisa).
  • Experience with one or more of the following: Kafka messaging, performance testing (JMeter, Blaze Meter), UI/mobile automation (Selenium, Appium), database/ETL/batch automation, CI/CD tools (Jenkins, Git).
  • Excellent communication, stakeholder management, and collaboration skills.

Preferred Qualifications, Capabilities, and Skills

  • Python programming experience.
  • Exposure to AWS Bedrock, Sagemaker, and LLM model workflows.
  • Familiarity with agentic workflows (Langgraph, Langchain) and MCP servers.
  • Experience with Docker, Kubernetes, or other containerization technologies.
  • Knowledge of cloud monitoring/logging (CloudWatch, ELK stack).
  • Understanding of cloud security best practices.

JPMorgan Chase is an equal opportunity employer, committed to diversity and inclusion. If you are passionate about leading teams, driving innovation, and delivering reliable systems at scale, we invite you to join our Cloud Quality Engineering team and help shape the future of technology at the firm.

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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