JPMorgan Lead Security Engineer - Knowledge Graph 

United States, Florida, Tampa 

649094817

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 engineeringconcepts 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.
• Advancedin 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.