DevOps Team Lead

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

Lead and mentor a team of DevOps engineers, fostering technical growth and collaboration

Define and drive the infrastructure roadmap aligned with company objectives

Architect and oversee cloud infrastructure design and implementation

Establish best practices, standards, and processes for infrastructure development and operations

Partner with Engineering, Research, and FDE to align infrastructure capabilities with business needs

Drive the evolution of Kubernetes clusters optimized for GPU workloads, Production SaaS hosting and and varied enterprise deployment models

Champion GitOps practices using ArgoCD for continuous deployment

Establish infrastructure as code standards using Terraform

Define monitoring and observability strategy for distributed systems

Collaborate with ML engineers to optimize infrastructure for model training and serving

Own infrastructure reliability, performance, and security posture

Implement and maintain cost optimization strategies (FinOps) for cloud resources

Must have

7+ years of experience in cloud infrastructure and DevOps, with 5+ years in a technical leadership role

Proven track record of building and leading high-performing infrastructure teams

Strong experience with AWS, GCP and Azure

Deep expertise in Kubernetes, including multi-cluster management, GPU workload optimization, resource scheduling and autoscaling, and network policies and security

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 Terraform

Proficiency with GitOps tools (ArgoCD preferred)

3+ years of experience with Python

Experience with monitoring and observability tools

Experience with FinOps practices and cloud cost optimization

Excellent communication skills with ability to translate technical concepts for diverse audiences

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

SRE practices experience or cloud security certifications

Hands-on experience with Prometheus, Grafana, or Datadog

Experience scaling infrastructure for AI/ML startups

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

A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action