Lead Software Engineer - Fullstack

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As a Lead Software Engineer at JPMorgan Chase within the Consumer and community banking technology - Business Banking team, 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.
- Lead technical design and delivery of complex full-stack capabilities (Java/Spring Boot + React/Angular).
- Drive event-driven patterns using Kafka (idempotency, retries, ordering, error handling).
- Establish strong engineering practices (test strategy, automation, CI/CD quality gates, observability).
- Own production excellence: incident reduction, RCA prevention, performance tuning, and operational readiness.
- Mentor engineers and influence technical direction across squads and partner teams.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 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
- Deep expertise in Java 8+ / Spring Boot, microservices, and React/Angular.
- Strong Kafka/event-driven architecture experience (retries, idempotency, DLQ patterns, schema/versioning).
- Experience with SQL databases with data modelling, query optimization, and performance tuning.
- Strong NoSQL experience: Cassandra / DynamoDB / Elastic Search (data modeling, reliability, scale).
- Strong experience with Cloud Foundry/AWS and CI/CD strategy and execution.
- Demonstrated leadership in design reviews, mentoring, and cross-team technical alignment.
- Ability to work with tools such as Dynatrace, Splunk, Grafana for observability and monitoring
- Experience building applications with resilient, highly available architectures, including consideration for failure modes, recovery, and operational readiness.
Preferred qualifications, capabilities, and skills
- Working knowledge of secure engineering practices and designing to meet Cyber Security and Technology Control requirements (e.g., authentication/authorization, secure APIs, data protection, dependency hygiene).
- Cross-team delivery leadership, PCI experience and AWS cert are pluses.