Mid-level DevOps & Release role at Fundamental. Remote · full-time.

devopsroles summary, based on the employer's posting.

What you'll do

- Build cloud foundations and run Kubernetes environments for GPU-based machine learning and production SaaS
- Set up ArgoCD delivery workflows, Terraform infrastructure, and CI/CD pipelines for apps and infrastructure
- Add monitoring for distributed services and automate infrastructure work with Python and Bash
- Work with ML engineers to support model training and serving, while controlling GPU-related cloud costs

What you bring

- At least five years working in cloud infrastructure and DevOps, with strong AWS and GCP experience
- Three or more years using Python, plus deep Kubernetes skills across clusters, GPUs, scheduling, autoscaling and security
- Strong cloud networking, CI/CD, and Terraform experience, along with monitoring and cloud-cost optimization skills

Who this fits

This mid-level, full-time remote role suits someone who can own cloud infrastructure and work closely with ML engineers. The work spans AWS and GCP, GPU workloads, production SaaS, and model training and serving.

From the employer

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

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

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

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📌 DevOps Engineer Fundamental · Remote · Europe · DevOps & Release Pay not stated 10mo ago (Colombia)
🏢 Devopsroles
📍 Colombia