Join our team as a Full Stack Software Engineer and play a pivotal role in shaping the future of Machine Learning and AI solutions within the Consumer & Community Banking sector at JPMorgan Chase.

As a Full Stack Software Engineer at JPMorgan Chase within the Consumer & Community Banking, Operations 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 break down technical problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsAdds to team culture of diversity, equity, inclusion, and respectContribute to the integration of machine learning models to solve complex business problems and enhance ML-driven applications   Optimize machine learning models for performance and scalability leveraging cloud based resourcesDemonstrate the ability to continuously learn and stay updated with latest AI and machine learning advancementsTroubleshoot and debug machine learning related issues Initiate and contribute to AI strategyBe the technical liaison between business, product, data scientists and engineersBe a part of our innovation and transformation roadmap 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years of applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s)     Solid experience with Python OR Java,  SQL, CI/CD pipeline, Github, AWS or Azure or GCP requiredUnderstanding of various machine learning algorithms, including supervised and unsupervised learning, neural networks and reinforcement learningEnd-to-end working knowledge on how a machine learning product is builtFamiliarity with MLOPS and components in MLOPS ecosystemGood understanding of agile methodologiesExcellent communication and presentation skills

Preferred qualifications, capabilities, and skills

In-depth knowledge of the financial services industry and their IT systemsPractical AWS or Azure cloud native experiencesExperience with deploying applications using Docker, KubernetesExperience in data streaming tools such as KafkaExperience with Generative AI and LLM’s