At a Glance
- Tasks: Lead architectural design and develop cutting-edge generative AI services using Python.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy flexible hours, generous leave, and a comprehensive pension plan.
- Other info: Be part of a dynamic team with excellent career growth opportunities.
- Why this job: Make a real impact in AI while mentoring the next generation of engineers.
- Qualifications: 5+ years in software engineering with strong Python skills and cloud-native experience.
The predicted salary is between 60000 - 80000 £ per year.
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, implement robust systems, and collaborate closely with cross‑functional stakeholders to deliver reusable AI services and components. You will also mentor other engineers and contribute to evolving 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).
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.
Senior Software Engineer II - Data Engineering employer: RELX
Join a forward-thinking company that champions innovation and collaboration in the heart of a vibrant tech hub. As a Senior Software Engineer II, you will thrive in a culture that prioritises employee growth through mentorship and continuous learning, while enjoying generous benefits such as flexible working hours and a comprehensive pension plan. With a commitment to diversity and inclusion, this is an excellent opportunity for those looking to make a meaningful impact in the field of generative AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer II - Data Engineering
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at RELX or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to RELX.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like RELX.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like RELX that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Software Engineer II - Data Engineering
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at RELX.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at RELX and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at RELX
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If RELX uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
