Sr. Manager of Software Engineering

Join our Business Banking Technology team and help build secure, stable, and scalable digital solutions that enable small businesses to manage their finances and achieve their goals.

You will shape technical direction, modernize core capabilities, and raise the bar for engineering excellence across a growing organization.

As a Senior Manager of Software Engineering at JPMorganChase within Community and Consumer Banking - Business Banking Technology, you will own complex services and end-to-end delivery, influence architecture across squads, and drive engineering practices that improve quality, reliability, and speed to market.

You will partner closely with business, product, and operations teams to deliver resilient platforms and exceptional client experiences.

Job responsibilities


* Lead technical design and delivery of complex full-stack capabilities across services and user experiences (Java and Spring Boot with React or Angular)


* Drive event-driven architecture patterns using Kafka, including idempotency, retries, ordering, schema evolution, and dead-letter queue handling


* Establish and continuously improve engineering practices, including automated testing strategy, continuous integration/continuous delivery (CI/CD) quality gates, and release readiness


* Own production excellence by reducing incidents, improving root cause analysis prevention, tuning performance, and strengthening operational readiness


* Improve observability by defining actionable metrics, dashboards, logs, and alerts using industry-standard monitoring and telemetry tooling


* Mentor engineers through design reviews, pairing, and technical coaching while influencing standards and reusable patterns across squads


* Partner across product, operations, and engineering teams to align delivery plans, manage technical risk, and deliver measurable outcomes


* Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience


* Advanced hands-on experience building microservices and APIs using Java (8+) and Spring Boot in large-scale environments


* Strong full-stack engineering depth with modern web frameworks (React or Angular) and pragmatic API/UI design tradeoffs


* Proven experie...