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 Cybersecurity, Technology, and Controls line of business, 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.

We are seeking a highly skilled Knowledge Graph Engineer with expertise in designing, implementing, and managing knowledge graphs to support complex data relationships and enhance decision-making processes. This role involves working with cutting-edge graph technologies to create scalable, reliable, and efficient data solutions that drive business insights and innovation. The ideal candidate will have a deep understanding of graph databases and query languages, with the ability to construct and maintain knowledge graphs that integrate diverse data sources. They will be adept at leveraging graph metrics and analysis techniques to uncover hidden patterns and relationships within data. The successful candidate will have a strong working knowledge of graph database technologies and experience in developing graph-based applications using Python.

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 Develop and implement strategies for constructing and maintaining knowledge graphs, ensuring scalability, reliability, and efficiency Executes creative security solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down technical problems Design and optimize graph database solutions, leveraging technologies such as Neo4j, Amazon Neptune, or ArangoDB Implement graph query solutions using languages like Cypher, SPARQL, or Gremlin to extract insights and support business objectives Maintain version control for graph data and ontologies, ensuring traceability and compliance with governance policies Ensure that knowledge graphs adhere to security best practices and comply with relevant regulations and standards

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience  Advanced in one or more programming language(s) 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.) Practical cloud native experience Advanced Python programming skills, with experience in libraries such as NetworkX Proficiency in graph query languages such as Cypher, SPARQL, or Gremlin Expertise in graph database technologies (e.g., Neo4j, Amazon Neptune, ArangoDB) Strong expertise in deploying and managing knowledge graphs in production environments Bachelor's degree in Computer Science, Engineering, or a related field, with relevant experience in knowledge graph engineering or related roles

Preferred qualifications, capabilities, and skills

Strong ability to monitor graph systems in production, addressing performance and data quality issues effectively Graph database integration with RAG pipelines a plus Working knowledge of ontologies in the Security domain a plus (Mitre, Open Cyber Security Framework) Experience with infrastructure optimization techniques to enhance performance and efficiency Familiarity with creating and utilizing ontologies to improve data representation and analysis