JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer

Backend EngineeringConfirmed live in the last 24 hours

Full-timeChicago, IL, USA$137.8k - $185kIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 5 years of applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Experience with a distributed streaming platform such as Kafka.
Proficiency in Core Java and Spring Boot or another programming language.
Knowledge of a big data stack, including Spark, S3, Flink, cloud technology, AWS, Databricks, Core Java, Spring Boot, or artificial intelligence.
Strong understanding of data, data modeling, database methodologies, and architecture disciplines.
Advanced SQL and data management knowledge.
Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, and the ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations; ability to guide peers on safe and effective use within team practices.
Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages.
Experience with AI tools such as Claude or GitHub Copilot.

Responsibilities

Design, develop, and deliver software solutions, thinking beyond conventional approaches to build solutions and break down technical problems.
Troubleshoot and tune performance across backend workflows using Java, Spring Boot, AWS, and PostgreSQL.
Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
Develop, support, and troubleshoot cloud, big data, and Java solutions to meet business and technology requirements.
Produce architecture and design artifacts for complex applications and ensure design constraints are met in software code development.
Use enterprise-authorized AI coding-assistance tools to improve code quality, delivery speed, and productivity across complex deliverables, including code generation or refactoring, unit-test creation, and documentation; validate outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve team effectiveness.
Use software development life cycle tools, including authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Gather, analyze, synthesize, and create visualizations from large, diverse data sets to continuously improve software applications and systems.
Work within an Agile/Scrum environment and contribute to sprint planning, code reviews, and continuous improvement.
Promote best practices in design, architecture, and AWS cloud-native development.
Identify opportunities to eliminate or automate manual processes and recurring issues to improve platform operational stability.

Desired Qualifications

AWS Cloud Certification and other relevant certifications.
Data engineering experience.

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 JPMorganChase within the Consumer Community Banking Digital Technology department, 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

Design, development and deliver software solutions with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Perform troubleshooting and performance tuning across backend workflows (Java, Spring Boot, AWS, PostgreSQL)
Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
Develop, support and troubleshoot cloud, big data and java solutions required to fulfill business and technology requirements
Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
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.
Gather, analyze, synthesize, and develop visualizations from large, diverse data sets in service of continuous improvement of software applications and systems
Work within an Agile/Scrum environment, contributing to sprint planning, code reviews, and continuous improvement.
Champion best practices in design, architecture, and AWS cloud-native development.
Identify opportunities to eliminate or automate manual processes and recurring issues to improve the overall operational stability of the platform

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Experience with distributed streaming platform (Kafka)
Proficient in coding in one or more languages: Core Java, Spring boot
Demonstrated knowledge within a technical discipline: Big data stack – Spark, S3, Flink, Cloud technology, AWS, Databricks, Core Java, Spring boot, artificial intelligence)
Strong understanding of data, data modeling and database methodologies and architecture disciplines
Advanced SQL and data management knowledge
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Experience with AI tools like Claude / Github co pilot

Preferred qualifications, capabilities, and skills

AWS Cloud Certification and other relevant certifications are a plus
Data Engineering Experience

Base Pay/Salary: Chicago,IL $137,750.00-$185,000.00

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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