Platform Engineer

The role

You will design, deploy, and maintain cloud infrastructure. Your work will impact the performance, reliability, security and cost-efficiency of AI workloads.

What you will do

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

Required qualifications

• 5+ years of experience working with cloud infrastructure in a major cloud provider (AWS, GCP, Azure).
• Experience with infrastructure-as-code (IaC) in a production environment (Terraform, Helm etc).
• Deep understanding of cloud security best practices.
• Experience with Kubernetes.
• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience.

Nice to have

• Familiarity with security frameworks and compliance standards such as SOC 2 or ISO 27001.
• Experience with large-scale AI / ML workloads (particularly using GPUs).
• Familiarity with AI agents or LLM-based systems, especially LLM inference systems.
• Experience with Golang and Python.
• Open-source contributions or active community involvement

Benefits

• Competitive compensation
• Generous benefits packages

About the company

Hiverge is building a platform that orchestrates thousands of AI research agents to discover new algorithms. The founding team is composed of researchers from Google DeepMind and the University of Cambridge.