Cloud Platform Engineer for Scalable AI Workloads

Hiverge Ltd; Cambridge; On-site; GBP 70,000 - 115,000; Full time

Job summary

Hiverge Ltd. is seeking a Platform Engineer to design, deploy, and maintain cloud infrastructure for scalable AI workloads. You will ensure performance, security, and cost-efficiency across AWS, GCP, or Azure, while collaborating with product and engineering teams to align infrastructure with business needs.

The role emphasizes ownership of SLOs, security best practices, and robust monitoring and observability to support high-availability AI workloads.

Qualifications

• 5+ years of experience with cloud infrastructure on major providers (AWS, GCP, Azure).
• Experience with infrastructure-as-code in production environments (Terraform, Helm).
• Deep understanding of cloud security best practices.

Responsibilities

• Design, implement, and maintain cloud-based infrastructure on major cloud providers (AWS, GCP, Azure).
• Design and implement security best practices and infrastructure hardening for all cloud deployments.
• Deploy and operate AI agents at scale with high availability and robust performance.
• Implement monitoring, logging, and observability solutions for system visibility.
• Collaborate with product and engineering to align infrastructure with business needs.
• Take ownership of meeting defined SLOs and participate in on-call rotations.

Skills

Cloud infrastructure

Kubernetes

Golang

Python

Terraform

Security best practices

SRE fundamentals

On-call

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Helm

Kubernetes

Job description

Hiverge Ltd. is seeking a Platform Engineer to design, deploy, and maintain cloud infrastructure for scalable AI workloads. You will ensure performance, security, and cost-efficiency across AWS, GCP, or Azure, while collaborating with product and engineering teams to align infrastructure with business needs.

The role emphasizes ownership of SLOs, security best practices, and robust monitoring and observability to support high-availability AI workloads.