Lead Software Engineer

2 weeks ago


Philadelphia, Pennsylvania, United States Elsevier Full time

Lead Software Engineer - Search Solutions

We are in search of an experienced and driven Lead Software Engineer specializing in Search Solutions. This role is pivotal in overseeing our existing search infrastructure while spearheading the exploration of innovative methodologies. Additionally, the Lead Engineer will mentor junior engineers and promote knowledge exchange within the organization.

About the Team
Our team comprises a diverse mix of software engineers, data analysts, and research professionals dedicated to enhancing current software offerings and developing new solutions. Our search engine is integral to our suite of products in Health Markets, enabling users to navigate a comprehensive collection of medical literature, journals, and synoptic content. The search team is focused on refining our existing search capabilities while investigating future enhancements, including vector-based search technologies.

Key Responsibilities:

  • Overseeing Current Search Infrastructure: Taking responsibility for the stability, performance, and scalability of our current search system.
  • Enhancing Search Accuracy: Identifying opportunities for improvement and implementing strategies to optimize search functionality.
  • Staying Informed: Keeping abreast of the latest developments in search technologies, machine learning, and natural language processing, and providing strategic insights to enhance search capabilities.
  • Leading Research Initiatives: Directing research and experimentation to investigate cutting-edge search methodologies and algorithms.
  • Mentoring Team Members: Guiding junior engineers by offering technical support and fostering professional growth through regular knowledge-sharing sessions.
  • Collaborating with Stakeholders: Working closely with product managers, architects, and other key stakeholders to translate business needs into effective search solutions, ensuring clear communication of complex technical concepts.
  • Participating in Strategic Discussions: Engaging in cross-functional meetings to contribute to the strategic planning of search system enhancements.

Qualifications:

  • Proven experience in developing search capabilities within a large-scale platform.
  • Proficiency in tools such as Java, Python, Solr, Elasticsearch, AWS, Kubernetes, Airflow, and Docker.
  • Familiarity with Agile methodologies and JIRA.
  • Experience with vector-based information retrieval services.
  • Knowledge of retrieval-augmented generation systems.


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