Bring your Senior Lead Software Engineering and management skills 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 Principal 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.11 or above Possesses experience working on graph databases like Neo4j  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:

Formal training or certification on software engineering concepts and 10+ years applied experience. Expert level Java application development experience using Java 11 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.  Technical Leadership experience including resource management. 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 Experience working with EKS, MSK, and other AWS managed services Experience building monitoring tools using Datadog, Prometheus and Grafana Experience interacting and building entitlement systems.