Senior Software Engineer II – Data Engineering
Are you passionate about designing scalable data solutions? Do you thrive on transforming complex datasets into reliable, high‑impact systems?
About the team
Our team is dedicated to unlocking the rich knowledge embedded within Elsevier’s content through our rich data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.
As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production‑ready AI services — enabling downstream teams to integrate cutting‑edge GenAI features.
About the role
We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services and components, collaborating closely with cross‑functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and helping evolve our engineering practices.
Key responsibilities
- Lead architectural design and ensure technical consistency.
- Design, develop, and maintain generative AI services and reusable components using Python.
- Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD.
- Contribute to system designs spanning multiple services and modules, aligning with architectural best practices.
- Collaborate with product, platform, and research teams to translate AI prototypes into production‑ready capabilities.
- Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications.
- Lead the resolution of complex technical challenges across distributed systems.
- Mentor less‑senior developers on engineering principles, GenAI patterns, and platform development.
- Participate in code reviews, architecture sessions, and cross‑team initiatives to ensure quality and maintainability.
- Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems.
Requirements
- 5+ years of software engineering experience.
- Proven experience leading technical architecture for large‑scale platforms or services.
- Solid understanding of software development methodologies and data modelling principles.
- Deep expertise in Python (or failing that, Java).
- Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).
- Strong experience with Kubernetes (EKS) and cloud‑native architectures.
- Proven record of building scalable backend systems and APIs.
- Experience mentoring engineers and contributing to architectural decisions.
- Ability to work collaboratively across functions in an Agile or Kanban environment.
Nice to have
- Experience operationalizing LLMs or building an internal AI platform.
- Familiarity with observability practices (metrics, logging, alerts).
- Exposure to knowledge graphs or semantic search systems.
Benefits
- Comprehensive Pension Plan
- Generous vacation entitlement and option for sabbatical leave
- Maternity, Paternity, Adoption, and Family Care leave
- Flexible working hours
- Personal Choice budget
- Internal communities and networks
- Various employee discounts
- Recruitment introduction reward
- Employee Assistance Program (global)
Equal Opportunity Employer
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.
USA Job Seekers: EEO Know Your Rights.
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