Lead Software Engineer

JPMorgan Chase & Co.•Wilmington, DE

About The Position

As a Lead Software Engineer at JPMorgan Chase within the Corporate 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Requirements

Formal training or certification on software engineering concepts and 5+ years applied experience
Experience building Microservices using python, Docker, Jenkins, Python-Streamlit, SQL, JSON, Kubernetes, AWS EMR, AWS EC2, AWS RDBMS (Postgres, Oracle) , Apache Spark, Pyspark, Tensorflow
Application architecture disciplines and technical design for financial applications.
Experienced with pair programming agents such as GitHub Copilot to accelerate prototyping.
Solid grasp of Agile SDLC, CI/CD, and security best practices
Experience developing in large-scale corporate environments
Excellent problem-solving skills and the ability to think critically and creatively
Experience in mentoring and guiding junior engineers

Nice To Haves

AWS Certified Solutions Architect certification
Experience in MLOps and building model serving applications
Experience with Agentic AI architecture and agents to solve business challenges
Experience in observability and production management tools (ex. Splunk / Dynatrace / Grafana)

Responsibilities

Design, Develop and implement software solutions.
Solve business problems through innovation and engineering practices.
Engage in the full Software Development Life Cycle (SDLC), from requirements analysis through design, development, testing, and deployment.
Incorporate architectural standards into application design specifications, translating technical requirements into programmed application modules, and developing and enhancing software application modules.
Identify and troubleshooting application code-related issues.
Take active role in code reviews to ensure solutions are aligned to predefined architectural specifications.
Assist with Design reviews by recommending ways to incorporate requirements into designs and data flows.
Perform development and DevOps in a distributed environment.
Utilize AI agents and emerging technologies to build prototypes for demonstration purposes, presenting to peer groups, business partners, and senior leadership.
Define standards, best practices, and governance guidelines for the ML Platform.