We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As part of Personalized and Insights product within Consumer & Community Banking,  we are building a ML-powered recommendation engine platform to serve personalized content on mobile, web and other channels. You'll get to work on a consumer-facing product that uses high TPS micro-services, large streaming data, bandit and neural-network based recommendation algorithms, batch and real-time serving ML models and much more

As a  Backend Java Software Engineer III at JPMorgan Chase within the Personalization and Insights team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. 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.

Job responsibilities

Design & build new applications utilizing leading edge technologies and modernize existing applications Implement batch & real-time software components consistent with architectural best-practices of reliability, security, operational efficiency, cost-effectiveness and performance Ensure quality of deployed code via automated unit, integration & acceptance testing Collaborate with multi-national agile development, support and business teams to meet sprint objectives Participate in all agile meetings & rituals, including daily standups, sprint planning, backlog reviews, demos, and retrospectives Learn and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in Frameworks, system design, application development, testing, and operational stability Prior hands-on coding experience with two or more of Java, Python, SQL  Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

Certified AWS Cloud Practitioner, Developer or Solutions Architect strongly preferred High throughput, low latency micro service development leveraging AWS services such EKS, ECS, Fargate, ELB, etc. High throughput near real time stream processing with services such Kinesis, Flink, ECS, EKS, etc.