About The Position

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.

Requirements

  • 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

Nice To Haves

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

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

Benefits

  • We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
  • Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
  • We also offer a range of benefits and programs to meet employee needs, based on eligibility.
  • These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
  • Additional details about total compensation and benefits will be provided during the hiring process.
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