cloud efficiency engineer in Oxford

cloud efficiency engineer in Oxford

Oxford Full-Time 70000 - 90000 £ / year (est.) Working from home possible
Randstad Digital

At a Glance

  • Tasks: Optimise cloud infrastructure and drive financial impact through resource efficiency.
  • Company: Join a leading tech company focused on innovative cloud solutions.
  • Benefits: Highly competitive salary, equity, and flexible work options.
  • Other info: Enjoy engineering autonomy in a massively scalable tech environment.
  • Why this job: Make a real difference by optimising cloud costs and enhancing performance.
  • Qualifications: 5+ years in cloud infrastructure with strong Java and Kubernetes expertise.

The predicted salary is between 70000 - 90000 £ per year.

We are looking for a hands-on Cloud Efficiency Engineer to join our Core Infrastructure team. This isn't a reporting or advisory role. You will be directly optimizing our massive, JVM-heavy infrastructure—tuning autoscalers, profiling services, and finding the perfect balance between peak reliability and cloud cost efficiency.

What You'll Do

  • Optimize GKE at Scale: Hands-on rightsizing of massive Kubernetes workloads and advanced autoscaler tuning.
  • Profile JVM Services: Deep-dive into Java performance, interpret GC logs, and tune heap/thread configurations to maximize efficiency.
  • Drive Financial Impact: Translate cloud pricing models and scheduling decisions into tangible, multi-million-dollar savings.

What We're Looking For

  • 5+ years of experience in cloud infrastructure with a proven, hands-on track record in resource efficiency (not just monitoring).
  • Deep Cloud & K8s expertise: Strong knowledge of GCP/GKE (or equivalent AWS/Azure depth with a willingness to switch).
  • Strong Java/JVM skills: Ability to profile services, debug resource contention, and optimize runtime configurations.
  • Proven results: You have personally implemented cost-optimization initiatives that delivered measurable savings in a cloud-native environment.

Quick Perks

  • Highly competitive salary, equity, and premium benefits.
  • Flexible work policy (work from home or the office).
  • Massively scalable tech stack with real engineering autonomy.

cloud efficiency engineer in Oxford employer: Randstad Digital

Join a forward-thinking company that values innovation and efficiency, where as a Cloud Efficiency Engineer, you will play a crucial role in optimising our extensive cloud infrastructure. Enjoy a flexible work policy that allows you to choose between remote or office work, alongside a highly competitive salary and premium benefits that reflect our commitment to employee well-being and growth. With a focus on real engineering autonomy, you'll have the opportunity to make a significant financial impact while working with cutting-edge technology in a collaborative and dynamic environment.

Randstad Digital

Contact Details:

Randstad Digital Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land cloud efficiency engineer in Oxford

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Cloud Efficiency Engineer role.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repo showcasing your cloud optimisation projects. We want to see your hands-on experience with GKE and Java performance tuning—this is your chance to shine!

Tip Number 3

Prepare for those interviews! Brush up on your knowledge of cloud pricing models and autoscaler tuning. We recommend practising common interview questions related to resource efficiency and be ready to discuss your past successes.

Tip Number 4

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 take the initiative to connect directly with us.

We think you need these skills to ace cloud efficiency engineer in Oxford

Cloud Infrastructure
Kubernetes (GKE)
Java
JVM Performance Tuning
Autoscaler Tuning
Resource Efficiency
Cost-Optimisation

Some tips for your application 🫡

Show Off Your Experience:Make sure to highlight your hands-on experience in cloud infrastructure. We want to see how you've optimised resources and delivered measurable savings, so don’t hold back on those achievements!

Get Technical:Since this role is all about the nitty-gritty of cloud efficiency, dive deep into your technical skills. Talk about your expertise with GCP/GKE and Java/JVM—this is your chance to shine!

Be Specific About Results:When you mention your past projects, be specific about the results. Use numbers and examples to illustrate how your initiatives made a financial impact. We love seeing tangible outcomes!

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!

How to prepare for a job interview at Randstad Digital

Know Your Cloud Inside Out

Make sure you brush up on your knowledge of GCP/GKE or AWS/Azure. Be ready to discuss specific projects where you've optimised cloud infrastructure, and be prepared to dive deep into technical details about autoscalers and Kubernetes workloads.

Showcase Your Java Skills

Since this role involves profiling JVM services, come armed with examples of how you've tuned heap and thread configurations in the past. Be ready to interpret GC logs and explain how your actions led to improved performance.

Quantify Your Achievements

Prepare to talk about your previous cost-optimisation initiatives. Use concrete numbers to illustrate the financial impact of your work—multi-million-dollar savings are impressive, so make sure you highlight those!

Be Ready for Problem-Solving Scenarios

Expect some technical challenges during the interview. Practice explaining your thought process when tackling resource contention issues or optimising runtime configurations. This will show your hands-on experience and problem-solving skills.