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 JPMorganChase within the Consumer and community banking - Data 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.

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 problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads 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

 

 

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 5+ years of applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s)Master’s degree (or equivalent experience) in Computer Science, Data Science, Engineering, or a related discipline. Extensive experience in AI/ML solution design, data architecture, governance and management frameworks.Demonstrated success building batch and real-time GenAI and ML Pipelines from inception to deployment and monitoring.  Strong understanding of data consumption patterns, data mesh architecture to support variety of use cases- AI/ML, GenAI, Self-Serve etc. Hands on experience in developing, debugging, and maintaining code in large-scale environments using modern programming languages (e.g., Java, Python) and database querying languages.

Find opportunities for automation, efficiencies and opportunities for a seamless customer experience, supporting their GenAI, AI/ML and Data initiatives.