Senior Java Search Platform Engineer (Kubernetes) in London

Senior Java Search Platform Engineer (Kubernetes) in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
Elsevier

At a Glance

  • Tasks: Design backend search services and build reliable cloud-native systems.
  • Company: Join Elsevier, a leading tech company in Greater London.
  • Benefits: Enjoy generous holiday allowances, health screening, and a competitive pension scheme.
  • Other info: Exciting opportunities for career growth in a dynamic environment.
  • Why this job: Be part of an innovative team shaping the future of search technology.
  • Qualifications: Strong backend engineering experience with Java and Kubernetes knowledge.

The predicted salary is between 60000 - 80000 € per year.

Elsevier is seeking a Senior Software Engineer I to join their Search Platform team in Greater London. This role focuses on backend search service design and building reliable, cloud-native systems.

Ideal candidates have:

  • Strong backend engineering experience
  • Practical knowledge of search technologies like Elasticsearch
  • Proficiency in Java and Kubernetes

The position offers generous benefits including holiday allowances, health screening, and a competitive pension scheme.

Senior Java Search Platform Engineer (Kubernetes) in London employer: Elsevier

At Elsevier, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within our Search Platform team in Greater London. Employees benefit from generous holiday allowances, comprehensive health screening, and a competitive pension scheme, alongside ample opportunities for professional growth and development in cutting-edge technologies like Java and Kubernetes.

Elsevier

Contact Detail:

Elsevier Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Java Search Platform Engineer (Kubernetes) in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those working at companies you're eyeing. A friendly chat can open doors and give you insider info on job openings.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Java, Kubernetes, or search technologies. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on common technical questions related to backend engineering and cloud-native systems. Practising coding challenges can also help you feel more confident when it’s showtime.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!

We think you need these skills to ace Senior Java Search Platform Engineer (Kubernetes) in London

Backend Engineering
Java
Kubernetes
Elasticsearch
Cloud-Native Systems
Service Design
Reliability Engineering

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your backend engineering experience and any relevant projects you've worked on, especially those involving Java and Kubernetes. We want to see how your skills align with the role!

Showcase Your Search Tech Knowledge:If you’ve got experience with search technologies like Elasticsearch, don’t hold back! Include specific examples of how you’ve used these tools in your previous roles to demonstrate your expertise.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you a perfect fit for our Search Platform team. We love a good story!

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 don’t miss out on any important updates from us!

How to prepare for a job interview at Elsevier

Know Your Tech Inside Out

Make sure you brush up on your Java and Kubernetes skills. Be ready to discuss your experience with backend engineering and how you've used these technologies in past projects. It’s a good idea to have specific examples that showcase your problem-solving abilities.

Familiarise Yourself with Search Technologies

Since the role focuses on search service design, get comfortable with Elasticsearch and any other relevant search technologies. Prepare to explain how you've implemented or optimised search functionalities in previous roles, as this will show your depth of knowledge.

Understand the Company Culture

Research Elsevier's values and mission. Knowing what they stand for can help you align your answers with their expectations. This also gives you a chance to ask insightful questions about their team dynamics and work environment.

Prepare for Scenario-Based Questions

Expect to face scenario-based questions that assess your technical and soft skills. Think about challenges you've faced in previous roles and how you overcame them. Practising these responses can help you articulate your thought process clearly during the interview.