Lead Software Engineer - Java, AWS, AI

JPMorgan Chase & Co.•Columbus, OH

About The Position

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 AMLKYC Product 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.

Requirements

Formal training or certification on software engineering concepts and 5+ years applied experience
8+ years of professional experience in software engineering, with a strong focus on design thinking and full stack development
8+ years experience: Java, Spring & Spring Boot and API development
Development experience in AWS, public cloud, APIs, Kafka, Cassandra/NoSQL
Experience using AI solutions and Automation to improve efficiency and drive innovation.
Hands-on practical experience delivering system design, application development, testing, and operational stability
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

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
Lead Platformization initiatives, leveraging automation tools and AI to enhance efficiency and build robust, stable systems.
Provide coaching and mentorship to fellow engineers, fostering skill development and best practices within the team.
Adds to team culture of diversity, opportunity, inclusion, and respect