Be an integral part of a team that drives cutting-edge generative AI solutions adding business value and enhance user experiences.

 

As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Home Lending, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

Lead and deliver innovative technology solutions within the Home Lending organization.Design, develop, and deploy applications using modern tech stacks (AWS, GraphQL, REST, Python, Java).Build and integrate AI/ML solutions, including Retrieval-Augmented Generation (RAG), vector databases, and Large Language Models (LLMs) for agentic workflows.Provide hands-on coding expertise and lead initiatives.Develop observability frameworks using distributed tracing, logs, metrics, time series databases, and dashboards.Implement robust alerting and monitoring systems to ensure platform reliability.Design and deploy AI Ops models for intelligent operations and automation.Contribute to the team culture of diversity, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s)Proven experience with AWS, GraphQL, REST APIs, Python, and Java.Strong background in AI/ML, including RAGs, vector databases, LLMs, and agentic workflow design.Hands-on coding and solution delivery in complex environments.Expertise in building observability solutions: distributed tracing, logging, metrics, time series DBs, dashboarding, alerting, and monitoring.Experience developing and deploying AI Ops models.Excellent problem-solving, communication, and leadership skills.

Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

 

Preferred qualifications, capabilities, and skills Certification in AWS – Solutions ArchitectCreating Release Management SolutionsCreating Incident Management Solutions