Jobs

Lead Software Engineer – Cloud Quality Engineering – Java / AWS
New York, NY, United States, US
·
On-site
·
Full-time
·
2mo ago
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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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
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Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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