At a Glance
- Tasks: Optimise cloud infrastructure costs and implement efficiency gains in a massive Kubernetes environment.
- Company: Join a leading tech company focused on cloud efficiency and innovation.
- Benefits: Competitive contract rate, flexible working, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on cutting-edge technology.
- Why this job: Make a real impact by optimising cloud costs at scale and enhancing performance.
- Qualifications: 5+ years in cloud engineering with expertise in GCP and Kubernetes optimisation.
The predicted salary is between 60000 - 80000 € per year.
Location: London, (Occasional Office Visits)
PLEASE NOTE SPONSORSHIP IS NOT PROVIDED - MUST HAVE FULL RIGHT TO WORK IN THE UK
Role Summary
We're looking for a cloud efficiency engineer to join the team. This is a hands-on specialist role: you'll bring deep expertise in cloud infrastructure cost optimization and apply it directly to implementing multi-million-dollar efficiency gains across one of the world's largest Kubernetes fleets. You'll work alongside senior engineers and a data scientist who identify and prioritise opportunities. Your job is to take those opportunities and make them real - digging into GCP configurations, workload profiles, and Kubernetes resource settings to implement changes that reduce cost while maintaining performance and reliability. You bring the specialist knowledge that makes the difference between a safe 30% rightsizing and an aggressive one that pages on-call at 3am.
The Opportunity
This environment runs at a massive scale; the team was formed to capture systematic efficiency gains that individual teams miss. The pipeline extends to JVM tuning, autoscaling efficiency, workload placement, and storage optimization. This role exists because cloud cost optimization at this scale requires specialist knowledge: understanding GCP pricing models, machine type trade-offs, committed use discount strategies, and how Kubernetes scheduling interacts with cloud billing. You'll bring that expertise to a team of strong infrastructure engineers who know the platform deeply but need a partner who thinks natively in cost-per-unit-of-compute.
What We're Looking For
- 5+ years of experience in cloud infrastructure engineering, with hands-on work in cost optimization and resource efficiency (not just monitoring or reporting)
- Deep expertise in Google Cloud Platform (or equivalent depth in AWS/Azure with willingness to transfer to GCP) - you understand machine type characteristics, pricing models, and how Kubernetes scheduling decisions translate to cloud spend
- Hands-on experience optimizing Kubernetes/GKE workloads at scale - you've personally rightsized services, tuned autoscalers, and debugged resource contention issues
- Strong enough in Java to profile JVM-based services, interpret GC logs, adjust heap and thread pool configurations, and evaluate runtime alternatives - this fleet is heavily JVM-based
- Demonstrated ability to implement cost optimizations that delivered measurable savings in a cloud-native environment
- Skilled at navigating the reliability trade-offs of efficiency work
- Deep JVM performance tuning experience is a plus
Cloud Efficiency Engineer - GCP in London employer: Teksystems
Join a dynamic team in London as a Cloud Efficiency Engineer, where you'll leverage your expertise in Google Cloud Platform to drive significant cost optimisations across a vast Kubernetes infrastructure. Our collaborative work culture fosters innovation and professional growth, providing you with the opportunity to implement impactful solutions while working alongside seasoned engineers and data scientists. Enjoy the benefits of a flexible work environment with occasional office visits, allowing for a balanced approach to your career development.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Efficiency Engineer - GCP in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your cloud optimisation projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to GCP and Kubernetes. Practice explaining your past experiences with cost optimisation clearly and confidently – it’s all about demonstrating your expertise!
✨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 proactive about their job search!
We think you need these skills to ace Cloud Efficiency Engineer - GCP in London
Some tips for your application 🫡
Show Off Your Expertise:When you're writing your application, make sure to highlight your deep expertise in GCP and cloud cost optimisation. We want to see how your experience aligns with the role, so don’t hold back on those impressive achievements!
Be Specific About Your Experience:We love details! Share specific examples of how you've optimised Kubernetes workloads or implemented cost-saving measures. The more concrete your examples, the better we can understand your impact in previous roles.
Tailor Your Application:Make sure your application speaks directly to the job description. Use similar language and keywords that we’ve included, especially around cost optimisation and cloud infrastructure. This shows us you really get what we're looking for!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Teksystems
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Understand the pricing models, machine types, and how Kubernetes scheduling impacts costs. Being able to discuss these topics confidently will show that you're not just familiar with GCP but that you can leverage it for cost optimisation.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of your past work in cloud infrastructure engineering. Highlight instances where you've implemented cost optimisations or rightsized services. Concrete examples will demonstrate your ability to deliver measurable savings and your hands-on expertise.
✨Understand the Trade-Offs
Be ready to discuss the reliability trade-offs involved in efficiency work. This role requires a balance between cost savings and maintaining performance. Showing that you can navigate these complexities will set you apart from other candidates.
✨Brush Up on JVM Performance Tuning
Since the fleet is heavily JVM-based, make sure you’re comfortable discussing JVM profiling, GC logs, and tuning parameters. If you have experience adjusting heap and thread pool configurations, be prepared to talk about it. This will highlight your technical depth and relevance to the role.
