Senior Devops/Infrastructure Engineer
Summary
Senior DevOps engineer builds and maintains cloud-native AI infrastructure, deploys ML pipelines on Kubernetes, and designs telco-grade deployment packages for carrier-scale Voice AI products.
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:
- 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
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.