Take on a crucial role where you'll be a key part of a high-performing team delivering secure software solutions. Make a real impact as you help shape the future of software security at one of the world's largest and most influential companies.

As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls line of business, you are an integral part of team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. As a core technical contributor, you are responsible for carrying out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions

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

Develop and implement strategies for constructing and maintaining knowledge graphs, ensuring scalability, reliability, and efficiency. 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. Document processes, workflows, and best practices to facilitate knowledge sharing and improve operational 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 Develops secure and high-quality production code and reviews and debugs code written by others Minimizes security vulnerabilities by following industry insights and governmental regulations to continuously evolve security protocols, including creating processes to determine the effectiveness of current controls Works with stakeholders and business leaders to understand security needs and recommend business modifications during periods of vulnerability Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on security engineering  concepts and 5+ years applied experience Skilled in planning, designing, and implementing enterprise level security solutions Advanced Python programming skills, with experience in libraries such as NetworkX. Proficiency in graph query languages such as Cypher, SPARQL, or Gremlin and expertise in graph database technologies (e.g., Neo4j, Amazon Neptune, ArangoDB). Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security In-depth knowledge of the financial services industry and their IT systems Strong expertise in deploying and managing knowledge graphs in production environments. Strong communication skills to collaborate effectively with cross-functional teams. Advanced in one or more programming language 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

Proven experience in deploying and managing large-scale knowledge graphs in production environments. 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.