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Senior Platform Engineer

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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 GCP
- Working extensively with Kubernetes and GKE to run and operate scalable workloads
- Building infrastructure that supports distributed, data-heavy and AI-driven systems
- Working with engineering teams to understand how backend services are built and ensure the platform supports them effectively
- Using your understanding of Go and/or Python to work closely with the engineers building and operating services, without this being a backend development role
- Improving deployment, reliability, observability and developer experience
- Building and maintaining infrastructure using Terraform and modern Infrastructure as Code practices
- Working with GitOps and CI/CD to make deployments reliable and repeatable
- Supporting technologies such as Kafka, Redis, PostgreSQL, MongoDB and Elasticsearch
- Helping to develop the infrastructure required to support AI, LLM and agentic workloads
- Troubleshooting complex production issues and continuously improving the platform
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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 systems
- A strong understanding of how modern backend systems and microservices are designed and operate
- Experience with Go and/or Python, ideally from a previous engineering background or through working closely with backend services
- Strong Infrastructure as Code experience, ideally with Terraform
- Experience with GitOps, CI/CD and modern deployment practices
- An understanding of APIs, messaging, event-driven architecture and distributed systems
- Experience with observability, monitoring and troubleshooting in production environments
- Interest 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


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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.
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