J.P.MorganChase is seeking a Lead Software Engineer with expertise in AWS and Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will collaborate with the Applied AI/ML group and technology teams across the firm, contributing to both new and ongoing projects.

In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open-source tools to ensure models meet SDLC standards, are production-ready, and can be deployed efficiently. The position requires close interaction with platform developers, engineering communities, and the integration of existing and new technologies.

 

Job Responsibilities

Develop and maintain high-quality, secure applications using Python and AWSCreate architecture and design deliverables, lead design and architecture reviews, promote best practiceIntegrate AIML solutions into complex, domain-specific operations processing systemsLead code reviews, design discussions, and agile planning sessionsCollaborate with SRE and production monitoring teams to ensure system reliability and performanceContribute to software engineering communities of practice and technology eventsEmbrace continuous learning, creative problem-solving, and a can-do attitude

 

Required Qualifications, Capabilities, and Skills

Bachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent formal training/certificationProven hands-on experience in Python application developmentProven hands-on experience developing, debugging and maintaining production applicationsSolid understanding of software development best practices, including version control, testing, and CI/CDStrong problem-solving, communication, and collaboration skills, with the ability to convey design choices and communicate effectively with stakeholdersExperience working on AIML systems and/or prior experience collaborating with data scientistsTrack record of designing, building, and delivering maintainable, extensible applications into production environments

 

Preferred Qualifications, Capabilities, and Skills

Experience with Cloud services, Infrastructure as Code (IaC, Terraform) and containerized application developmentFamiliarity with data storage systems (e.g., Postgres, OpenSearch) and AWS services such as S3, SageMaker, and BedrockPractical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), Event Driven Systems.