London · Hybrid, 3 days a week in the office
AI company that protects people from fraud and scam calls. It's a joint venture founded by several of the world's leading telecom operators, and it's hiring its first dedicated infrastructure engineer.
The ideal person has already taken a product from zero to 100,000 users and built the infrastructure that got it there: the first cluster, the first pipelines, the first alerts, and keeping it all reliable as usage grew.
What you'll do
- Design how the platform is deployed and upgraded inside telco networks, working with operators' engineering teams
- Own dev and staging infrastructure on AWS (some Azure) and a Kubernetes GitOps setup (ArgoCD, Helm)
- Support ML pipelines and model deployment alongside the ML/AI team
- Build monitoring, alerting, runbooks and incident response
What you'll bring
- AWS, Kubernetes, Terraform, Helm and ArgoCD in production
- Production monitoring and alerting (Prometheus/Grafana or similar)
- Ownership and comfort with ambiguity in a small team
- Nice to have: air-gapped deployments, Azure, MLOps or GPU workloads on Kubernetes, secrets management and least-privilege access.
You’ll set the infrastructure standards from day one and define how voice AI gets deployed into carrier networks.
This role is offering a salary between £100k - £150k and the package is benchmarked to attract senior, top-tier talent.
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