DevOps Engineer

About the role

ABOUT FUNDAMENTAL

Fundamental is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, Fundamental is giving businesses the Power to Predict.

At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.

KEY RESPONSIBILITIES

- 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

MUST HAVE

- 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 (ArgoCD preferred)

- Extensive experience with cloud networking, including VPC design, load balancer configuration, network security and segmentation, and cross-cloud networking solutions

- Strong CI/CD expertise, preferably with GitHub Actions

- Proficiency in infrastructure as code (Terraform)

- Experience with monitoring and observability tools

- Experience with FinOps practices and cloud cost optimization

NICE TO HAVE

- 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