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Software Engineering Lead
RELXTech Lead with expertise in search engines leading the Search Experience team at Elsevier. Guiding design and implementation of scalable search and retrieval systems to empower healthcare and research innovation.
Posted 6/5/2026full-timeNew York City • Massachusetts, New Jersey, New York, Pennsylvania • 🇺🇸 United StatesSenior💰 $115,400 - $230,700 per yearWebsite
Tech Stack
Tools & technologiesAirflowDistributed SystemsElasticSearchJavaMicroservicesPythonScalaSpark
About the role
Key responsibilities & impact- Providing technical leadership for the Search Experience team, guiding design and implementation of shared search and retrieval systems.
- Owning the technical delivery of search platform initiatives, ensuring solutions meet requirements for scalability, relevance, reliability, and maintainability.
- Leading our shared search platform — expanding content search and improving relevance through vector and lexical search techniques.
- Designing and developing scalable search services, data processing workflows, and microservices using technologies such as Elasticsearch, Spark, and Airflow.
- Writing clean, modular, and testable code in Python and/or Java, aligned with architecture guidelines and engineering standards.
- Leading design discussions, code reviews, and architecture sessions to ensure software quality and maintainability.
- Mentoring and supporting engineers through pairing, code reviews, and technical coaching.
- Proactively identifying technical risks, dependencies, and bottlenecks, and drive them to resolution.
- Contributing to cross-team alignment, ensuring the search platform integrates cleanly with broader product and AI ecosystems.
Requirements
What you’ll need- Current expertise with Lucene, Elasticsearch, Solr, or similar search engines, with industry experience in semantic and lexical search.
- Only candidates with Search Technology will be considered for this role.
- Demonstrated experience acting as a technical lead on complex backend or search platform systems.
- Proven track record building and scaling search systems in production environments.
- Current and extensive development skills in Python and/or Java; Scala is a plus.
- Solid backend engineering fundamentals: API design, data modelling, distributed systems, and performance tuning.
- Proven ability to balance hands-on development with technical leadership and cross-functional coordination.
- Experience with Agile or Kanban teams, collaborating across functions.
- Experience building or integrating AI/LLM-powered or GenAI applications.
- Familiarity with vector/embedding-based search and KNN algorithms.
- Exposure to graph-based data models or knowledge graph architecture.
- Experience working on internal developer platforms or shared infrastructure used by multiple teams.
- Knowledge of observability best practices for distributed data systems (e.g., metrics, logs, alerts).
Benefits
Comp & perks- This job is eligible for an annual incentive bonus.
- We offer country specific benefits.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonJavaElasticsearchSparkAirflowAPI designdata modelingdistributed systemsperformance tuningvector search
Soft Skills
technical leadershipmentoringcross-functional coordinationproblem-solvingcommunication