IC Resources
Senior Devops/Infrastructure Engineer

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Fast growth tech company, applying AI to the telecoms industry, is looking to hire a Senior DevOps/Infrastructure Engineer to join their growing team.
You will work closely with Backend and ML/AI engineers to deploy and maintain dev/staging environments, work on ML / AI pipelines, and deploy ML models.
Also, you will design and implement their telco deployment package, working alongside engineers and telco engineering teams.
Key Skills/Experience Required
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.
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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.
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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.
- AWS
- Kubernetes
- IaC (Terraform)
- GitOps (Helm, ArgoCD)
- Monitoring and alerting for production systems (Prometheus/Grafana or similar)
- Azure (desirable)
- MLOps in k8s (Kubeflow etc)
- Running GPU workloads on K8s (drivers, scheduling, utilisation)
- Familiarity with AI engineering
- Experience deploying in air-gapped customer environments
- Experience with secrets management and least-privilege access across environments


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Why Join?
- This is an exciting opportunity to build next-generation Voice AI products used in real-world, carrier-scale environments
- You will work on cutting-edge challenges in Speech AI, Conversational AI, and AI safety
- You will have high ownership, autonomy, and direct impact on product and company strategy
This is a hybrid role (3 days per week) in their London office.
For more information, please contact Matt Andrews.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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