Senior Lead Software Engineer - Java/Python, AWS & AI/ML

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 experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced 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

   

• Certification in AWS – Solutions Architect
• Creating Release Management Solutions
• Creating Incident Management Solutions