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- JP Wealth Management, 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 architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds 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 experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s)Proficiency in automation and continuous delivery methodsHands-on experience with AWS Glue (ETL jobs, crawlers, workflows).Experience with PySpark and distributed data processing.Familiarity with AWS services: S3, Lambda, Redshift, Athena, Step Functions.Experience integrating AI/ML models (SageMaker or custom models) into data pipelines.Understanding of data modeling, data warehousing, and data lake architectures.

Experience with version control (Git) and CI/CD pipelines.

 

Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologiesExposure to cloud technologies