DevOps Engineer
At a glance
Mid-level DevOps & Release role at Fundamental. Remote · full-time.
Pay not stated DevOps Engineer salary
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
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
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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