Cloud Efficiency Engineer - GCP

Cloud Efficiency Engineer (GCP)

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

Job Title: Cloud Efficiency Engineer - GCP

Location: London, UK

Job Type: Contract

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)>

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)>

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield