Machine Learning - Lead Software Engineer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking, 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.

Job responsibilities


* Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems


* Collaborate with product managers to integrate machine learning capabilities into product requirements.


* Translate requirements into technical specifications and designs, incorporating machine learning models.


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


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


* Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture


* Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies


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

Required qualifications, capabilities, and skills


* Formal training or certification on Software Engineering / Machine Learning concepts and 5+ years applied experience


* 5+ years of Hands-on practical enterprise experience delivering system design, application development, testing, and operational stability


* Advanced in one or more programming language(s) Python and AWS deployment


* Proficient in all aspects of the Software Development Life Cycle


* Advanced understanding of CI/CD, Application Resiliency, Automation and Security


* Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning)


* Practical cloud native experience in AWS


* Extensive experience in utilizing Terraform for infrastructure as code, enabling efficient provisioning and management of cloud resources


* Leverage Spark for big data processing and analytics, optimizing data workflows and enhancing performance in distributed computing environments

Preferred qualifications, capabilities, and skills


* Experience in building complex and scalable Software solutions on AWS


* Proficiency in building machin...