Lead Software Engineer - Java Full Stack
Posted
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As a Lead Software Engineer at JPMorganChase within the Corporate Sector - Security 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
As a Lead Software Engineer at JPMorganChase within the Corporate Sector - Security 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 breakdown technical problems
- Develops secure and high-quality production code, and reviews and debugs code written by others
- 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.
- 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
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Strong hands-on Java + Spring Boot engineering experience building secure, production-grade services and RESTful APIs.
- Experience with event-driven/messaging systems (e.g., Kafka, JMS, RabbitMQ) and building reliable integrations.
- Full-stack capability with ReactJS + modern JavaScript/HTML/CSS, delivering maintainable UI components using a governed UI framework/design system.
- Technical leadership with cloud-native delivery and engineering excellence: leading solution design/architecture; driving design/code reviews and standards; owning SDLC quality via automated testing (JUnit + integration/contract testing), CI/CD (Jenkins or equivalent), and production troubleshooting; and delivering/operating on cloud platforms (AWS or Cloud Foundry) with observability (logs/metrics/traces) and production readiness.
- Experience with Spring Framework and Hibernate/JPA, Experience building UI using ReactJS, JavaScript, HTML, and CSS.
- Strong testing experience (JUnit and broader automated testing practices such as integration/contract/component testing).
- Strong SQL skills and experience with RDBMS such as Oracle, MySQL, MS SQL, or Amazon RDS, Experience with source control (Git/Bitbucket/GitHub) and modern review/branching workflows.
- 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
Preferred qualifications, capabilities, and skills
- Experience with microservices architecture patterns (service boundaries, resiliency, backward compatibility, idempotency).
- Experience with micro-frontend architectures (frontend decomposition, shared components, independent deployment/versioning).
- Experience with blue-green deployments (deployment strategies to reduce risk/downtime, rollback planning, release validation).
Skills
- Agile
- AI
- API
- Automation
- AWS
- Bitbucket
- CI/CD
- Cloud
- Cloud Native
- CSS
- Event Driven Architecture
- Git
- GitHub
- Hibernate
- HTML
- Information Architecture
- Java
- JavaScript
- Jenkins
- Jms
- JPA
- JUnit
- Kafka
- Microservices
- MySQL
- Observability
- Oracle
- RabbitMQ
- RDBMS
- RDS
- React
- REST
- Root Cause Analysis
- SDLC
- Secure Coding
- Solution Design
- Spring
- SQL
- Test Automation