Lead Software Engineer - Java Developer

JPMorgan Chase - New York, NY

Full-time - Mid Level

New York, NY

Credit Intermediation and Related Activities

About the position

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking sector, you will play a crucial role in an agile team focused on enhancing and delivering market-leading technology products. This position involves conducting critical technology solutions across various business functions to support the firm's objectives, ensuring that the solutions are secure, stable, and scalable.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches.
• Develops secure high-quality production code, and reviews and debugs code written by others.
• Designs and delivers trusted data collection, storage, access, and analytics data platform solutions.
• 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 and technical credentials.
• 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, inclusion, and respect.

Requirements

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on professional experience (actively coding) working as a data engineer.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Experience with SQL and one or more programming languages - Java or Python.
• Experience with large-scale data platforms like Snowflake.
• 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.
• Practical cloud native experience and experience in Amazon AWS.

Nice-to-haves

• Experience in Infrastructure as Code (Terraform) for Cloud based data infrastructure.
• Understanding of data streaming and scalable data processing frameworks (Kafka).