Summary
✨ AI‑Generated
A senior platform engineering opportunity within a growing technology organization building a scalable, data-intensive platform. You’ll design and operate GCP infrastructure, run Kubernetes workloads, support distributed AI systems, and partner with software engineers to deliver infrastructure that is secure, reliable, scalable, and easy to use.
Highlights
Work on highly scalable cloud infrastructure supporting data-intensive and AI-driven systems, with substantial exposure to GCP, Kubernetes, and emerging AI workloads.
Description
Senior Platform Engineer | London | Hybrid | £100,000 to £115,000
We are looking for a Senior Platform Engineer to join a growing technology company building a highly scalable, data-intensive platform at the intersection of cloud infrastructure and AI.
This is an opportunity to work on complex infrastructure challenges, helping to build and evolve the platform that supports a rapidly growing product.
You'll work closely with software engineers and other technical teams to ensure the underlying infrastructure is scalable, reliable, secure and easy to use.
The environment is heavily focused on GCP and Kubernetes, with increasing work around AI workloads, agentic tooling and the infrastructure needed to support them.
What you'll be doing
Designing, building and improving cloud infrastructure on GCPWorking extensively with Kubernetes and GKE to run and operate scalable workloadsBuilding infrastructure that supports distributed, data-heavy and AI-driven systemsWorking with engineering teams to understand how backend services are built and ensure the platform supports them effectivelyUsing your understanding of Go and/or Python to work closely with the engineers building and operating services, without this being a backend development roleImproving deployment, reliability, observability and developer experienceBuilding and maintaining infrastructure using Terraform and modern Infrastructure as Code practicesWorking with GitOps and CI/CD to make deployments reliable and repeatableSupporting technologies such as Kafka, Redis, PostgreSQL, MongoDB and ElasticsearchHelping to develop the infrastructure required to support AI, LLM and agentic workloadsTroubleshooting complex production issues and continuously improving the platform
What we're looking for
Strong hands-on experience working with GCP Excellent Kubernetes experience, ideally including GKE Experience building and operating cloud-native, distributed systemsA strong understanding of how modern backend systems and microservices are designed and operateExperience with Go and/or Python, ideally from a previous engineering background or through working closely with backend servicesStrong Infrastructure as Code experience, ideally with Terraform Experience with GitOps, CI/CD and modern deployment practicesAn understanding of APIs, messaging, event-driven architecture and distributed systemsExperience with observability, monitoring and troubleshooting in production environmentsInterest or experience in AI infrastructure, LLMs, agentic systems or the tooling that supports them Someone who enjoys getting hands-on and solving complex technical problems
This would suit someone who is a strong platform engineer and wants to remain close to the technology.
You'll have plenty of autonomy and influence, but this is still a hands-on engineering role where you'll be building, improving and operating the platform.
