Job Description
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, equity, opportunity, 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 smf machine learning.)
- In-depth knowledge of the financial services industry and their IT systems
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