Posting record
Open 17+ days
- Hiverge's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Hiverge, so its true age is longer.
Last checked Nov 3, 2026.
How well do you match?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat it asks of you
- 5+ years of experience
- Bachelor's degree asked for
- Equivalent experience accepted instead of a degree
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Who we are
At Hiverge, we're transforming the algorithms the world runs on. We're building a platform that orchestrates thousands of AI research agents to discover new algorithms to solve some of the world's most challenging optimisation problems.
Our founding team is composed of world-class researchers from Google DeepMind and the University of Cambridge, having co-developed AlphaTensor, FunSearch, AlphaEvolve, 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.
About this role
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.
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.
What sets you apart
- 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.
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