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 Consumer Banking, 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.
- 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.
Required qualifications, capabilities, and skills
- 5+ years of middleware software development experience
- Deliver system design, application development, testing, and operational stability for production services
- Develop software with advanced proficiency in at least one programming language
- Implement automation and continuous delivery (CI/CD) practices
- Execute across all phases of the Software Development Life Cycle (SDLC)
- 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
- Apply in-depth knowledge of financial services and common enterprise IT systems
- Deliver solutions using practical cloud-native engineering experience
- Exposure to AWS with Terraform
Preferred qualifications, capabilities, and skills
- Server-side programming experience (Java; Java plus C/C#/Python acceptable)
- Experience designing and developing high-throughput, low-latency solutions for mission-critical 24/7 applications
- Spring experience (Spring Boot, Spring MVC, Spring Kafka)
- Experience distributing technologies and frameworks (Kafka, Cassandra, Spark, Hadoop)
- Experience writing performant SQL and stored procedures (Oracle/Sybase/SQL Server/CockroachDB)
- Experience using messaging technologies (Kafka, WebSphere MQ/JMS, RabbitMQ)
- Experience building for testability and implement test automation (JUnit/Mockito, Cucumber/Gherkin), and use Git for source control