About

• 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 Fusion Technology, you play a crucial role in an agile team dedicated to improving, developing, and providing reliable, cutting-edge technology products that are secure, stable, and scalable.
• 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
• Adds 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 experience
• Bachelor’s Degree in Computer Science and equivalent
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Expert level Java application development experience using Java 17 or higher, Spring boot, NoSQL Databases like Cassandra, relational databases (Postgres, Oracle, Sybase or MSSQL Server), Kafka
• 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.)
• Practical cloud native experience