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

JPMorgan Chase & Co.•Plano, TX

About The Position

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. 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.

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