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 JPMorgan Chase within the Commercial & Investment Bank - CB Technology team, you will be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment - one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.

Job responsibilities

Develop and implement data ingestion pipelines to populate the graph database from various sources. Write and optimize efficient queries using graph database query languages such as Cypher or Gremlin. Integrate graph databases with other systems and applications for seamless data flow and interoperability. Develop APIs and interfaces to enable access to graph data for various applications and services. Perform data analysis to uncover insights and patterns within graph data. Use visualization tools to represent graph data in a meaningful and accessible way for stakeholders. Monitor database performance and health, addressing any issues that arise. Implement security measures to protect graph data, including access controls and encryption. Ensure compliance with relevant data protection regulations and standards. Work closely with data scientists, analysts, and other engineers to support data-driven projects. Communicate complex technical concepts to non-technical stakeholders clearly and concisely.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years of applied experience Proficiency with graph database technologies such as Neo4j, Amazon Neptune, or Tigergraph. Experience with graph query languages like Cypher (for Neo4j) or GSQL (for Tigergraph). Strong programming skills in languages commonly used with graph databases, such as Java, Python, or JavaScript. Familiarity with data modeling and design principles specific to graph databases. Knowledge of data integration and ETL processes for graph data. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying graph databases in cloud environments. Understanding of security best practices for graph databases, including access control and data protection. Experience with DevOps practices and tools for automating database deployment and management. Strong analytical skills to understand complex data relationships and derive meaningful insights. Ability to solve complex technical problems and develop innovative solutions. Preferred qualifications, capabilities, and skills Certifications related to specific graph database technologies or cloud platforms