Lead Software Engineer

JP Morgan Chase; Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Job summary

JP Morgan Chase is seeking a Lead Software Engineer in Chicago to join the Consumer Community Banking Digital Technology team. You will lead design and delivery of scalable, secure Java-based solutions in an agile environment, leveraging AWS, big data, and AI-assisted tooling to accelerate quality and velocity.

You will contribute to architecture, data modeling, and performance tuning while shaping best practices in cloud-native development and responsible AI adoption across teams.

Qualifications

• 5+ years of software engineering experience in large projects.
• Experience with distributed streaming (Kafka).
• Proficiency in Core Java and Spring Boot.
• Advanced SQL and data management knowledge.
• Experience with AI-assisted development tools and responsible AI practices.
• Experience with cloud platforms (AWS) and big data stacks.
• Ability to design scalable, secure software architectures.

Responsibilities

• Design, develop, and deliver software solutions beyond routine approaches.
• Troubleshoot and tune backend workflows (Java, Spring Boot, AWS, PostgreSQL).
• Deliver secure, high-quality production code and maintain algorithms.
• Develop and troubleshoot cloud, big data, and Java solutions.
• Produce architecture and design artifacts for complex apps.
• Leverage enterprise AI coding tools to improve quality and speed.
• Apply SDLC tools to improve automation and value.
• Create visualizations from large, diverse data sets for improvement.
• Work in an Agile/Scrum environment with code reviews.
• Champion best practices in design and AWS cloud-native development.
• Identify opportunities to automate manual processes for stability.

Skills

Java

Spring Boot

AWS

PostgreSQL

Kafka

Big Data

Python

AI tools

Databricks

SQL

Data modeling

Security

Agile/Scrum

Tools

Spark

Flink

S3

Databricks

CI/CD

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 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