JPMorgan Chase
From JPMorgan Chase's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
You will also help identify practical ways to apply AI capabilities to payment products and engineering workflows.
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 CIB / Payments Technology, you are an integral part of an agile team that works to design, build, and support reliable, scalable payment applications. The ideal candidate has strong Java experience, including reactive programming, and can design & develop cloud-native, event-driven services using AWS and Kafka. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. You will also help identify practical ways to apply AI capabilities to payment products and engineering workflows.
Job Responsibilities
Design, develop, test, and maintain payment applications and services using Java and reactive programming frameworks such as Spring WebFlux or Project Reactor.
Build event-driven services and streaming workflows with Apache Kafka.
Develop, deploy, and operate cloud-native applications on AWS.
Contribute to secure, resilient payment processing, including transaction lifecycle, authorization, settlement, reconciliation, and exception handling.
Create and maintain RESTful APIs and service integrations.
Apply engineering practices such as automated testing, code reviews, CI/CD, observability, and performance tuning.
Partner with product, architecture, operations, risk, and other engineering teams to deliver payment capabilities.
Explore and implement appropriate AI-enabled solutions, such as intelligent exception handling, anomaly detection, developer productivity tools, or payment operations support.
Design, develop, test, and maintain payment applications and services using Java and reactive programming frameworks such as Spring WebFlux or Project Reactor.
Build event-driven services and streaming workflows with Apache Kafka.
Develop, deploy, and operate cloud-native applications on AWS.
Contribute to secure, resilient payment processing, including transaction lifecycle, authorization, settlement, reconciliation, and exception handling.
Create and maintain RESTful APIs and service integrations.
Apply engineering practices such as automated testing, code reviews, CI/CD, observability, and performance tuning.
Partner with product, architecture, operations, risk, and other engineering teams to deliver payment capabilities.
Explore and implement appropriate AI-enabled solutions, such as intelligent exception handling, anomaly detection, developer productivity tools, or payment operations support.
Support production services, investigate incidents, and contribute to root-cause analysis and service improvements.
Required Qualifications, Skills and Capabilities
Professional software development experience with Java.
Hands-on experience with reactive programming and asynchronous, non-blocking application design.
Experience building distributed, event-driven applications with Apache Kafka.
Experience developing or operating applications on AWS.
Strong understanding of APIs, microservices, distributed systems, and database technologies.
Experience with automated testing, source control, and CI/CD practices.
Ability to communicate clearly and collaborate across technical and business teams.
Experience with payment systems, financial transaction processing, or other high-volume, high-availability platforms.
Familiarity with AWS services such as EKS, ECS, Lambda, API Gateway, SQS, SNS, DynamoDB, RDS, CloudWatch, and IAM.
Experience with Kafka schema management, partitioning, consumer groups, replay, and delivery semantics.
Knowledge of application security, encryption, secrets management, and regulatory considerations relevant to payments.
Experience with containers and orchestration technologies such as Docker and Kubernetes.
Understanding of responsible AI practices, including data privacy, explainability, evaluation, and human oversight.
Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.
Create a free account to see your score. Your resume stays in this browser until then, and we never store it.
Already a member? Sign in