Bring your Software Engineering to the next level and become an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Software Engineer at JPMorgan Chase within Corporate Investment Bank Data Solutions, 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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Operates on big financial and non-financial data using modern parallel data analytics tools.
• Contributes to the design and architecture of the data management platform.
• Possesses strong hands-on working experience on core Java v.17 or above
• Possesses experience working on databases like Postgres
• Utilizes the latest cloud technology and infrastructure to perform analysis at scale, preferably AWS.
• Works with Tech, Product and other data partners to develop and implement data engineering use cases.
• Leverages technical skills to source and prepare data from a variety of data sources including traditional databases, SQL, no-SQL, and Cloud.
• Builds and maintain dataset documentation and metadata.
• Evaluates the current data architecture and shape the future state data architecture and roadmap.
• Works closely with data analytics staff within our team and partner teams to optimize solutions and develop / foster new ideas.
• Develops solutions to make the product supportable and scalable.

Required qualifications, capabilities, and skills – you can add up to 10 more bullets here

• Formal training or certification on software engineering concepts and 10+ years applied experience.
• Experience with Graph Database such as Neo4J
• Expert level Java application development experience using Java 17 or higher, Spring boot, relational databases (Postgres, Oracle, etc)
• Experience with Kubernetes, AWS experience or any cloud experience
• Hands on traditional Database Skills (Postgres, Oracle, or SQL Server). Strong SQL skills needed.
• Data Architecture skills and experience building enterprise scale data solutions.
• Experience building performant, decoupled, testable, maintainable code and fine tuning application response / performance testing using industry-wide technology trends and best practices
• Experience working with Maven, Jenkins build pipelines, Sonar and Unit testing frameworks including Junit5, Cucumber or similar.
• Experience with at least one other coding language (Python, Scala, Node.js etc.)
• Ability to communicate at all levels of the organization including senior executive level.

Preferred qualifications, capabilities, and skills

• Basic understanding of financial markets
• Experience with Graph Database such as Neo4J