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.
Why join us?
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
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)
About the business –
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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 or please contact 1-855-833-5120.
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Please read our Candidate Privacy Policy.
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.
Skills Required
- 5+ years of software engineering experience
- Proven experience leading technical architecture for large-scale platforms or services
- Understanding of software development methodologies and data modelling principles
- Deep expertise in Python or Java
- Proficiency 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
- Experience operationalizing LLMs or building an internal AI platform
- Familiarity with observability practices (metrics, logging, alerts)
- Exposure to knowledge graphs or semantic search systems
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
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