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- Tasks: Design scalable data solutions and develop generative AI services using Python.
- Company: Join a leading tech company focused on innovative data platforms.
- Benefits: Enjoy flexible hours, generous leave, and a comprehensive pension plan.
- Why this job: Make a real impact in research and healthcare with cutting-edge AI technology.
- Qualifications: 5+ years in software engineering with strong Python skills and cloud-native experience.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
The predicted salary is between 60000 - 80000 ÂŁ per year.
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.
Senior Software Engineer II - Data Engineering employer: RELX INC
Contact Detail:
RELX INC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer II - Data Engineering
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to generative AI and scalable systems. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Software Engineer II - Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Software Engineer II role. Highlight your expertise in Python, Kubernetes, and any generative AI projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and generative AI, and explain why you're excited about joining our team. Let us know how your background makes you a perfect fit for the role.
Showcase Your Projects: If you've worked on relevant projects, don't hesitate to mention them! Whether it's building scalable systems or mentoring other engineers, we love to see real-world examples of your work. This helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on being part of the StudySmarter family!
How to prepare for a job interview at RELX INC
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and Kubernetes. Brush up on your knowledge of generative AI tools and frameworks like LangChain and LangGraph, as these will likely come up during technical discussions.
✨Showcase Your Architectural Skills
Prepare to discuss your experience with architectural design and how you've led technical decisions in previous roles. Be ready to share specific examples of scalable systems you've built and how you ensured their maintainability and performance.
✨Collaboration is Key
Since this role involves working closely with cross-functional teams, think of examples where you successfully collaborated with product managers, researchers, or other engineers. Highlight your ability to translate complex technical concepts into understandable terms for non-technical stakeholders.
✨Mentorship Matters
As a senior engineer, you'll be expected to mentor others. Prepare to discuss your mentoring style and any experiences you have in guiding less-senior developers. This shows that you not only excel technically but also care about team growth and knowledge sharing.