Job Description

Join J.P. Morgan as a Full Stack Python Engineer, where you'll focus on developing intuitive and responsive web user interfaces and backend solutions. Collaborate with the Applied AI/ML group and development teams across the Technology organization to engineer and deploy innovative machine learning solutions into production.





As a Full Stack Python Engineer, you will utilize your expertise in web development using HTML, JavaScript, and CSS, complemented by backend skills in Python. Engage with multiple projects to build cloud-based frameworks for hosting machine learning models, ensuring production quality and rapid deployment.

Job Responsibilities:

Focus on developing intuitive and responsive web user interfaces using HTML, JavaScript, and CSS. Collaborate with Data Scientists on projects to build cloud-based frameworks for hosting machine learning models. Provide software engineering expertise throughout the model development lifecycle. Utilize internal and external cloud platforms to ensure models are developed in accordance with SDLC guidelines, are of production quality, and can be deployed quickly. Interact with platform developers, engineering, and developer communities, leveraging existing infrastructure and integrating new technologies as needed.

Required Qualifications, Capabilities, and Skills:

Formal training or certification on software engineering concepts and significant applied experience Proven expertise in web development using HTML, JavaScript (including popular frameworks such as React or Angular), and CSS, with required backend development skills in Python. Strong debugging and performance optimization skills. Hands-on practical experience delivering system design, application development, testing, and operational stability 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

Preferred Qualifications, Capabilities, and Skills:

Practical experience with cloud platforms, e.g., Kubernetes, AWS. Comfort with rapid prototyping and disciplined software development processes. Experience with REST web services and messaging technologies like MQ or Kafka.

Professional Skills:

Curiosity, creativity, resourcefulness, and a collaborative spirit. Clear and effective verbal and written communication. Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds. * Interest in problems related to the financial services domain (specific past experience in the domain is not required).