Lead Software Engineer - AWS, Python

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

1. 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 problem
2. Develops secure high-quality production code, and reviews and debugs code written by others
3. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
4. 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
5. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Required qualifications, capabilities, and skills

1. Formal training or certification on software engineering concepts and 5+ years applied experience
2. Extensive experience in building and running AWS/public cloud based applications
3. Solid programming skills with Python
4. Hands-on practical experience delivering system design, application development, testing, and operational stability
5. Proficiency in automation and continuous delivery methods and all aspects of the Software Development Life Cycle
6. Experience of pipelines and DAG's (Directed Acyclic graph) for processing data and/or machine learning
7. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence and machine learning.)
8. In-depth knowledge of the financial services industry and their IT system