Lead Software Engineer- CIB Finance Technology

As a Lead Software Engineer (VP) at JPMorganChase within Finance Technology, 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.

This is a senior individual contributor role building a new AI-powered, driver-based forecasting and planning platform for CIB Finance to support forecasting, scenario analysis, and strategic planning.

You will combine hands-on engineering with architecture-level decision making-driving technical direction, making trade-offs, and anticipating future business needs while delivering secure, stable, and scalable software.

Job responsibilities


* Executes creative software solutions, design, development, and technical troubleshooting to build an AI-first forecasting product and break down complex technical problems


* Develops secure, high-quality production code in Python and Java, and reviews and debugs code written by others


* Designs and implements LLM- and agent-based capabilities (e.g., tool use, workflow orchestration, evaluation/guardrails, prompt/version management) to power driver-based model building and scenario analysis


* Builds and evolves data and compute workflows on AWS and Databricks (batch + interactive), including data quality, lineage, and repeatable model runs


* Develops user-facing experiences using JavaScript/TypeScript and React to make complex forecasting workflows intuitive and auditable for Finance users


* Establishes architecture patterns for scalability, resiliency, and security; identifies and mitigates risks early (performance, data access, model behavior, explainability)


* Identifies opportunities to eliminate or automate remediation of recurring issues to improve operational stability of applications and pipelines


* Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills


* 10+ years of software engineering experience delivering production systems (design, build, test, release, operate)


* Strong hands-on expertise in Python and/or Java with demonstrated delivery of secure, high-quality production code


* Strong experience building cloud-native solutions on AWS (compute, storage, security/IAM, networking, observability)


* Strong experience with LLMs and agentic systems, including orchestration patterns, tool/function calling, retrieval, structured outputs, evaluations, and safety/guardrails


* Experience building data-intensive applications and workflows using Databricks (Spark, Delta, jobs/workflows)


* Proficiency in JavaScript/TypeScript and React for building modern web applications


* Proficiency in automation and continuous delivery methods; strong SDLC discipline (CI/CD, testing, code quality, release controls)


* Advanced understanding of agile delivery, application resiliency, and secure engineering practices


* Strong system d...