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 Commercial and Investment Banking - Applied AI/ML team, 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 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 sessions with internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and on-prem/cloud 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, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience Extensive experience in building and running AWS/public cloud based applications Solid programming skills with Python Hands-on practical experience delivering system design, application development, testing, and operational stability Proficiency in automation and continuous delivery methods and all aspects of the Software Development Life Cycle Experience of pipelines and DAG's (Directed Acyclic graph) for processing data and/or machine learning Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence and machine learning.) In-depth knowledge of the financial services industry and their IT system   Preferred qualifications, capabilities, and skills Experience in leading a small team of engineers as tech lead and manager Experience with Cloud services, Infrastructure as Code (IaC) and containerized application development Familiarity with AWS databases and AWS services such as S3, ECS, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kinesis, MLOps and Large Language Model Operations (LLMOps) Experience working on AIML systems and/or prior experience collaborating with data scientists