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- Tasks: Lead the tech direction of an AI-driven product for academic research.
- Company: Join Springer Nature, a leader in advancing knowledge and innovation.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic, cross-functional team with global collaboration and travel opportunities.
- Why this job: Shape the future of research technology and make a real impact.
- Qualifications: Strong leadership in tech, experience with AI/ML, and collaborative skills.
The predicted salary is between 80000 - 100000 ÂŁ per year.
About the Springer Nature Group
Springer Nature opens the doors to discovery for researchers, educators, clinicians, and professionals around the globe. For over 175 years, our imprints, books, journals, platforms, and technology solutions have supported communities in advancing knowledge and improving outcomes. Today, we continue to invest in innovation to ensure that foundational knowledge remains discoverable, verifiable, and usable for generations to come.
About the Role
Springer Nature is seeking a visionary and execution‑focused Principal Developer with strong leadership capability to guide the technical direction of the Nature Research Assistant—an emerging AI‑driven product designed for the academic research community. This role requires someone who can bridge fast-paced AI innovation with enterprise-grade engineering, reduce bottlenecks, accelerate decision‑making, and maintain delivery velocity. You will work closely across SND, the central AI/ML group (SNAIL), DevOps, Product, and our external startup partners. With the product currently in closed beta, you will join at a pivotal point—helping shape the architecture, strengthen AI integration, and scale the platform for broader rollout. You will work within a dynamic, collaborative, cross‑functional environment that is passionate about advancing science through technology. The role can be based in any of our main European Digital locations (London, Lisbon, Berlin) and involves remote collaboration with colleagues in our global offices including Pune (India), Dordrecht and Groningen (The Netherlands), London (UK), and Berlin (Germany). Some travel may be required.
About You
You are a technology leader who excels in enabling teams, navigating ambiguity, and driving pragmatic delivery. You combine deep engineering experience with the ability to influence across organisational boundaries. You will enjoy this role if you:
- Lead through influence, not just authority, and help teams make timely, well‑informed decisions
- Bring clarity when stakeholders or teams are misaligned
- Can balance best practices with speed—pushing for solutions that are fit for purpose, not over‑engineered
- Have strong awareness of modern AI/LLM technologies, including reliability, evaluation, safety, and latency constraints
- Value collective ownership, mentoring, and raising the bar for engineering excellence
- Are comfortable working across time zones and organisational silos
- Enjoy pairing, Test‑Driven Development, trunk‑based development, and continuous delivery
- Embrace failure as a learning opportunity
- Communicate clearly with both technical and non‑technical collaborators
What’s Expected
In your first 3 months:
- Develop a deep understanding of the NRA technology stack—a Kotlin/http4k backend and React/Remix frontend
- Learn our deployment and infrastructure workflows on Google Cloud Platform (GCP)
- Contribute to feature development within the product team
- Understand the roles, expectations, and constraints of SNAIL (central AI/ML), DevOps, Product Management, and external partners
- Help evolve the team’s agile processes and ceremonies
- Understand the team and product context within the academic publishing industry
- Begin identifying key bottlenecks and opportunities to improve velocity
By 3–6 months:
- Lead the technology direction for NRA, selecting appropriate solutions to solve the problems at hand
- Mentor team members across locations and support cross‑team collaboration
- Translate high‑level product objectives into actionable engineering work
- Advocate for defining and implementing strong non‑functional requirements
- Guide architectural decisions and clearly articulate trade‑offs
- Strengthen AI integration through collaboration with the ML/AI team, focusing on evaluation, reliability, and observability
- Help reduce cross‑team friction, enabling faster and clearer decision cycles
By 6–12 months:
- Support onboarding of new team members and contribute to building a cohesive, high‑performing team
- Provide actionable, constructive feedback to engineers and stakeholders
- Diagnose and resolve issues in live applications, contributing to blameless post‑mortems
- Deepen understanding of user needs and ensure technical decisions reflect the researcher experience
- Drive improvements in stability, performance, and iteration speed
- Demonstrate measurable improvements in delivery flow, architectural clarity, and collaboration effectiveness
Springer Nature Skills Associated With This Role:
- Action‑Oriented
- Tech Savvy
- Cultivates Innovation
- Data Security & Governance
- Quality Management
- Process & Systems Design
- Product Development & Delivery
- Software Engineering & Systems Integration
- Collaboration
- Drives Results
Principal Developer - Nature Research Assistant in London employer: Springer Nature
Contact Detail:
Springer Nature Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Developer - Nature Research Assistant in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. 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 AI and software development. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to the role. Think about how your experience aligns with the job description and be ready to share examples.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Principal Developer - Nature Research Assistant in London
Some tips for your application 🫡
Show Your Passion for Innovation: When writing your application, let us see your enthusiasm for technology and innovation. Share examples of how you've embraced new tech or led projects that pushed boundaries—this is what we love to see!
Tailor Your Experience: Make sure to highlight your relevant experience in AI and software development. We want to know how your skills align with the role of Principal Developer, so don’t hold back on showcasing your achievements in these areas.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to digest your key qualifications and experiences.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with Springer Nature.
How to prepare for a job interview at Springer Nature
✨Know Your Tech Stack
Before the interview, make sure you have a solid understanding of the technology stack mentioned in the job description, particularly Kotlin, http4k, React, and Google Cloud Platform. Familiarise yourself with how these technologies work together, as this will help you discuss your technical expertise confidently.
✨Showcase Your Leadership Style
Since the role requires strong leadership capabilities, be prepared to share examples of how you've influenced teams and made decisions in ambiguous situations. Highlight your experience in mentoring and fostering collaboration across different teams, as this aligns with what they’re looking for.
✨Emphasise AI Knowledge
Given the focus on AI-driven products, brush up on modern AI and LLM technologies. Be ready to discuss how you’ve integrated AI into previous projects, and demonstrate your understanding of reliability, evaluation, and safety concerns related to AI applications.
✨Prepare for Cross-Functional Collaboration
This role involves working closely with various teams, so think about how you can communicate effectively with both technical and non-technical stakeholders. Prepare examples of past experiences where you successfully navigated cross-team dynamics and resolved conflicts to keep projects moving forward.