Job
Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase 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 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 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 Becomes a technical mentor in the team Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Experience in software engineering, including hands-on expertise in ETL/Data pipeline and data lake platforms like Teradata and Snowflake Hands-on practical experience delivering system design, application development, testing, and operational stability Proficiency in AWS services especially in Aurora Postgres RDS Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) In-depth knowledge of the financial services industry and their IT systems Preferred qualifications, capabilities, and skills Experience in re-engineering and migrating on-premises data solutions to and for the cloud Experience in Infrastructure as Code (Terraform) for Cloud based data infrastructure Experience in building on emerging cloud serverless managed services, to minimize/eliminate physical/virtual server footprint Advanced in Java plus Python (nice to have)
