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 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 technologies

Required qualifications, capabilities, and skills

Bachelor's degree in Computer Science, or equivalentFormal 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), KafkaHands-on practical experience delivering system design, application development, testing, and operational stabilityExperience working with Maven, Jenkins build pipelines, Sonar and Unit testing frameworks including Junit5, Cucumber or similar.Proficiency in automation and continuous delivery methodsProficient 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.)In-depth knowledge of the financial services industry and their IT systemsPractical cloud native experience