DevOps Engineer

Fundamental · Remote · Europe ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior DevOps Role
  • AWS and GCP Expertise
  • Kubernetes + GPU Focus
  • GitOps with ArgoCD
  • Competitive Salary + Equity

Join Fundamental, an AI research lab backed by $275m in funding, to support the development of NEXUS, the world's most powerful Large Tabular Model. You will design and maintain the cloud infrastructure that powers enterprise decision-making for Fortune 100 companies.

This position focuses on optimizing GPU-intensive workloads and ensuring robust production SaaS hosting. You will collaborate closely with ML engineers to streamline model training and serving through automated infrastructure and cost-effective cloud strategies.

What you'll do

  • Design and implement cloud infrastructure from scratch
  • Manage Kubernetes clusters optimized for GPU and ML tasks
  • Implement GitOps workflows using ArgoCD for deployments
  • Develop infrastructure as code with Terraform
  • Build CI/CD pipelines for infrastructure and applications
  • Automate management tasks using Python and Bash scripts
  • Collaborate with ML teams to optimize training infrastructure
  • Execute FinOps strategies to monitor and reduce cloud costs

What you'll need

  • 5+ years in cloud infrastructure and DevOps roles
  • 3+ years of professional Python programming experience
  • Strong proficiency with AWS and GCP platforms
  • Deep expertise in Kubernetes multi-cluster management
  • Experience with GPU workload optimization and autoscaling
  • Solid background in cloud networking and VPC design
  • Proficiency with Terraform for infrastructure as code
  • Experience with GitOps tools, preferably ArgoCD
  • Knowledge of monitoring, observability, and FinOps

Nice to have

  • Familiarity with ML workflow tools like MLflow or Kubeflow
  • Experience with FastAPI and backend application development
  • Knowledge of data platforms such as Databricks or Snowflake
  • Exposure to SRE practices or cloud security certifications
  • Hands-on experience with Prometheus, Grafana, or Datadog

Stack

  • AWS
  • GCP
  • Kubernetes
  • Terraform
  • ArgoCD
  • Python
  • Bash
  • GitHub Actions

What you get

  • Competitive compensation package including equity
  • Comprehensive health coverage for employees and dependents
  • Paid parental leave for all new parents
  • Relocation support for joining office locations
  • Inclusive culture valuing diversity and ownership