JPMorgan Lead Software Engineer - Knowledge Graph 

United States, Florida, Tampa 

497043616

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