JPMorgan Chase

Lead Software Engineer - Full Stack Java

Chicago, United States · On-site
Salary not published
Posted 4 weeks ago

From JPMorgan Chase's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

What they ask for vs. your profile

Must have

SQL
Agile
Java
Troubleshooting
AWS
CI/CD
DevOps
Kafka
Microservices
MongoDB
Oracle
React

Your match

Career roadmap: Software EngineerWhat to learn, how to practice and free resources, from beginner to expert.

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JPMorgan Chase

Lead Software Engineer - Full Stack Java

Chicago, United States · On-site
Salary not published
Posted 4 weeks ago

From JPMorgan Chase's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

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 Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

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

Develops secure high-quality production code, and reviews and debugs code written by others

Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

Show the full description

Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years hands on Software Development Life Cycle experience

Experience implementing solutions using Java, SQL, UI frameworks, Design patterns, microservices, Cloud native architecture, Angular/React, RESTful APIs for enterprise-scale applications.

Experience with SQL performance tuning, JDBC, and ORM frameworks (Hibernate/JPA)

Strong experience in various SQL and NoSQL datastores including Oracle, MongoDB

Deep knowledge in caching technologies such as Elasticsearch, Reddis and so on

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

Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Proficiency in unit testing frameworks such as JUnit and Mockito for ensuring code quality.

Deep knowledge of messaging platforms such as Apache Kafka

Preferred qualifications, capabilities, and skills

Familiarity with DevOps practices, containerization and orchestration

Exposure to AI systems such as Copilot, Claude

Exposure to AWS technology stack

What they ask for vs. your profile

Must have

SQL
Agile
Java
Troubleshooting
AWS
CI/CD
DevOps
Kafka
Microservices
MongoDB
Oracle
React

What they ask for vs. your profile

Must have

SQL
Agile
Java
Troubleshooting
AWS
CI/CD
DevOps
Kafka
Microservices
MongoDB
Oracle
React

Your match

A free account lets you apply, save this job, see how well you match and check your resume against it.

Career roadmap: Software EngineerWhat to learn, how to practice and free resources, from beginner to expert.

Reach the hiring team

A short note to a recruiter or the hiring manager after you apply can get your application read sooner.

ATS check

AI ready

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ATS check

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