Senior Software Engineer – Search and AI Platform

Senior Software Engineer I – Search and AI Platform

Are you passionate about building scalable, high-performance data-driven applications? Do you enjoy turning complex datasets into robust, reliable systems that deliver real business impact?

The Search and AI Platform is Elsevier’s agentic data platform, which powers products such as Leap Space, Scopus, Science Direct, Clinical Key, Reaxys, and our next-generation AI-powered search systems. The platform uses agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data to deliver insights to the scientific community so they can collaborate more effectively, work smarter, and deliver quality research more quickly.

We are looking for an innovative, passionate Senior Software Engineer II to work as part of the teams building and enhancing our platform to deliver intelligent, scalable solutions that create real value for our clients.

• Design and implement graph-based search services.
• Develop applications using Java, Spring Boot, Spring, Graph
  
  QL, and Graph
  
  QL Federation.
• Integrate with databases, web services, or AWS services (Neo4j, Dynamo
  
  DB, RDS, S3, Parameter Store, SQS, SNS, Kinesis) to support ingestion, storage, and messaging pipelines.
• Champion clean code, SOLID principles, and engineering best practices, setting standards and mentoring engineers.
• Collaborate with product managers and engineering teams to deliver advanced search and recommendation features.
• Ensure robust monitoring and logging with New Relic and Coralogix, driving reliability and performance.

• 4+ years of professional software engineering experience in distributed systems or search platforms.
• Proven track record building scalable backend systems and APIs.
• Strong expertise in Java and the Spring Boot ecosystem.
• Hands‑on experience with Graph
  
  QL API/REST APIs design.
• Solid background in cloud‑native architectures with AWS and Kubernetes (EKS).
• Advocate of best practices for rapid development of quality software, including SOLID principles, clean code, architectural design patterns, CI/CD.
• Familiarity with Agile, Kanban, or other iterative development methodologies.
• Comfortable learning new technologies, languages, and tools on the job.
• Inclusive, positive, collaborative mindset and desire to deliver real business value to customers.

• Experience with Apollo Router or advanced Graph
  
  QL federation strategies.
• Background in data modelling for graph-based systems.
• Familiarity with search platforms or AI-driven discovery systems.
• Experience working in high-throughput, distributed systems.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.