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9 дней назад

SRE (AWS/Kubernetes)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
SRE (AWS/Kubernetes): Owning Aqemia’s cloud platform across infrastructure-as-code, GitOps delivery, observability, security, and FinOps for large-scale scientific computation with an accent on GPU fleet planning, reliability, and cost control. Focus on designing fully automated AWS infrastructure, operating Kubernetes through GitOps, and building secure CI/CD and internal tooling for engineering, ML, and scientific teams.

Location: Paris, hybrid, with up to two remote days per week. hirify.global also has an office in London.

Company

hirify.global is a drug invention company developing new medicines through its QEMI platform, which combines physics-based modeling, statistical mechanics, and generative AI.

What you will do

  • Own AWS infrastructure end to end using OpenTofu and Terragrunt, with all changes managed as code.
  • Operate and evolve Kubernetes workloads through GitOps with ArgoCD, Helm, and Kustomize.
  • Manage observability, incident response, blameless postmortems, and reliability improvements.
  • Track cloud costs, maintain cost allocation, and plan capacity for large GPU computing campaigns.
  • Enforce platform security through patching, vulnerability follow-up, and least-privileged access management.
  • Build internal tooling and CI/CD pipelines for engineering, ML, and scientific teams, while contributing to platform architecture and strategy.

Requirements

  • 2–3+ years of post-degree experience in platform or infrastructure engineering.
  • Deep hands-on experience with AWS and infrastructure-as-code, including Terraform or OpenTofu and Terragrunt.
  • Production experience with Kubernetes and GitOps delivery using ArgoCD, Helm, and Kustomize.
  • Experience building and maintaining CI/CD pipelines with GitHub Actions or GitLab.
  • Experience with cloud security practices and least-privileged access management.

Nice to have

  • MLOps experience with training or inference pipelines, model lifecycle management, or workflow orchestrators.
  • GPU capacity planning, autoscaling, spot strategies, or quota management.
  • Experience with AI-driven or data-intensive workflows.
  • Experience with a cloud provider beyond AWS, such as GCP.

Culture & Benefits

  • Work at the intersection of AI, physics-based modeling, biology, medicinal chemistry, and drug discovery.
  • Contribute to a growing pipeline of proprietary therapeutic programs and pharmaceutical partnerships.
  • Flexible hybrid work with up to two remote days per week.
  • Join a small engineering team with end-to-end ownership of the platform.
  • Work for a company backed by $100M from European and international investors.

Hiring process

  • Initial discussion with Talent Acquisition.
  • Hiring Manager interview followed by a technical deep-dive with the team.
  • Cultural fit interview with the co-founder and COO, followed by a final interview with the co-founder and CEO.

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