Hiverge
Platform Engineer
1mo ago
EuropeSeniorawsgcpazureinfrastructuremonitoringloggingsecurity
Skilled Platform Engineer designing, deploying, and maintaining cloud infrastructure for AI workloads at Hiverge.
About the company
- At Hiverge, our mission is to build algorithmic superintelligence: an AI discovery engine that automatically writes algorithms for the most critical optimisation problems.
- Our founding team is composed of world-class researchers from Google DeepMind and University of Cambridge, having co-developed AlphaTensor, FunSearch, and Nobel-prize winning AlphaFold. At Hiverge, you will be working with the brightest minds in AI, algorithms, and mathematics.
- If you’re passionate about AI and eager to shape transformative technologies, we’d love to hear from you.
Requirements
- 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.
Other
- We are seeking a skilled Platform Engineer to join our team. You will play a key role in designing, deploying, and maintaining our cloud infrastructure. Your work will directly impact the performance, reliability, security and cost-efficiency of our AI workloads.
- You will:
- Design, implement, and maintain cloud-based infrastructure on major cloud providers (AWS, GCP, Azure, etc).
- Design and implement security best practices and infrastructure hardening for all cloud deployments.
- Deploy and operate AI agents at scale, ensuring high availability and robust performance.
- Implement monitoring, logging, and observability solutions to enhance system visibility.
- Collaborate closely with product and engineering teams to align infrastructure with business needs.
- Take ownership of meeting defined SLOs, including participating in on-call rotations.
- 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 is highly valued.
- We offer competitive compensation, generous benefits packages, and offer a stimulating work environment, with the opportunity to contribute to the future of generative AI.