DevOps Engineer

The role

You will design and implement cloud infrastructure and build Kubernetes clusters for GPU workloads and ML applications. You will also automate infrastructure management and collaborate with ML engineers to optimize model training and serving.

What you will do

• Design and implement cloud infrastructure from the ground up
• Build and maintain Kubernetes clusters optimized for GPU workloads and ML applications, as well as Production SaaS hosting
• Implement GitOps practices using ArgoCD for continuous deployment
• Develop infrastructure as code using Terraform
• Create and maintain CI/CD pipelines for infrastructure and application deployment
• Implement monitoring and observability solutions for distributed systems
• Automate infrastructure management with Python and Bash
• Collaborate with ML engineers to optimize infrastructure for model training and serving
• Implement and maintain cost optimization strategies (FinOps) for cloud resources
• Monitor and optimize cloud spending, especially for GPU-intensive workloads

Required qualifications

• 5+ years of experience in cloud infrastructure and DevOps
• 3+ years of experience with Python
• Strong experience with AWS and GCP cloud platforms
• Deep expertise in Kubernetes, including multi-cluster management, GPU workload optimization, resource scheduling and autoscaling, and network policies and security
• Experience with GitOps tools
• Extensive experience with cloud networking, including VPC design, load balancer configuration, network security and segmentation, and cross-cloud networking solutions
• Strong CI/CD expertise
• Proficiency in infrastructure as code (Terraform)
• Experience with monitoring and observability tools
• Experience with FinOps practices and cloud cost optimization

Nice to have

• ArgoCD preferred
• GitHub Actions preferred
• Experience with ML workflow tooling (MLflow, Kubeflow, or similar)
• Experience with FastAPI and Backend applications
• Familiarity with data platforms like Databricks or Snowflake
• Exposure to SRE practices or cloud security certifications
• Hands-on experience with Prometheus, Grafana, or Datadog

Benefits

• Competitive compensation with salary and equity
• Comprehensive health coverage for you and your dependents
• Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
• Relocation support for employees moving to join the team in one of our office locations

About the company

Fundamental is an AI research lab pioneering the future of enterprise decision-making. Their flagship model, NEXUS, is a Large Tabular Model purpose-built for structured records.