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 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 experienceBachelor’s Degree in Computer Science and equivalentHands-on practical experience delivering system design, application development, testing, and operational stabilityExpert level Java application development experience using Java 17 or higher, Spring boot, NoSQL Databases like Cassandra, relational databases (Postgres, Oracle, Sybase or MSSQL Server), KafkaProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Practical cloud native experience