We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Senior Java Software Engineer at JPMorganChase within AI/ML & Data Platform, 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
Required qualifications, capabilities, and skills
- Bachelor's degree in Computer Science, or equivalent
- Formal training or certification on software engineering concepts with 5+ years of experience
- Expert level Java application development experience using Java 21 or higher, Spring boot, NoSQL Databases like Cassandra, relational databases (Postgres, Oracle, Sybase or MSSQL Server), Kafka
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Experience working with Maven, Jenkins build pipelines, Sonar and Unit testing frameworks including Junit5, Cucumber or similar.
- 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