Our team operates at the intersection of advanced AI and Information Retrieval, with the mission of building a comprehensive AI-powered Search & Knowledge Discovery platform that supports Elsevier's global product offerings. We work across the entire spectrum of information retrieval, from rapid discovery and prototyping to enterprise-grade knowledge discovery solutions. This enables researchers to achieve their goals faster within the Elsevier portfolio of products. Our recent work includes a GenAI platform that powers ScopusAI & ScienceDirect AI products.

We are seeking an innovative and passionate engineer with a minimum of six years of experience. The ideal candidate enjoys problem-solving at scale, values automation and efficiency, and views infrastructure as another aspect of software engineering. Our goal is simple: Change the world by providing researchers with tools that accelerate research output and its impact. If this resonates with you, we invite you to join us.

Your responsibilities will include:

- Contributing to our shared search platform.
- Building world-class search systems to enhance users’ search experience.
- Automating processes to assist other teams.
- Collaborating on new ideas to optimize systems and engineering workflows.
- Building relationships with other engineering teams to identify and solve their pain points.
- Working across the stack, from development to infrastructure.

About you:

- You are proficient in writing production-ready code. We use AWS, but experience with GCP or Azure is also acceptable, especially if you are competent with Kubernetes.
- You have experience with CI/CD and infrastructure as code.
- You view devops as a mindset, not a role. We operate under the motto “we write it, we run it” and are willing to engage in infrastructure work.
- You are passionate about creating high-quality, testable code. We write and design our own tests, measure untested things, and fix any problems we find.
- You are a team player who leaves your ego at the door. We value learning from each other and making decisions as a team.

Big Plus:

- You have experience with GenAI Applications.
- You are familiar with Lucene, or have experience with Elasticsearch, Solr, or any other search engine, and have experience with Semantic Search.

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Elsevier is 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. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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