(PLEASE NO PARTNERS - WE DO NOT WORK WITH ANY CONSULTANCY ORGANISATIONS)
We are supporting a confidential, global HealthTech organisation undergoing a major Cloud \& AI transformation.
This is not a BAU DevOps role.
This sits at the centre of:
Cloud platform modernisation
Kubernetes-first infrastructure build
AI / ML platform enablement
Global scalability \& resilience
You’ll work closely with senior engineering leadership to modernise and scale a multi-region GCP platform powering mission-critical systems worldwide.
What You’ll Be Driving:
Multi-region infrastructure on GCP
Kubernetes environments using Google Kubernetes Engine
Infrastructure-as-Code with Terraform
CI/CD automation via Cloud Build
Observability and reliability engineering using Google Cloud Monitoring
Migration from legacy to cloud-native environments
Security and compliance automation
This role is about building cloud infrastructure properly at scale.
Environment
Google Cloud (GCP)
AI / ML workload support
High-availability, multi-region deployments
Regulated, mission-critical systems
Executive-backed transformation
We’re Looking For
Strong hands-on DevOps / Platform Engineering experience
Proven GCP delivery experience
Deep Kubernetes knowledge
Infrastructure-as-Code capability
Experience in regulated or high-availability environments
If you’ve built scalable, secure cloud environments and want to operate in a high-ownership transformation mandate, apply directly or message for a confidential discussion.