DevOps Team Lead
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 271d ago
The date the source published, not the day we noticed it (2026-02-04). Last seen at its source 1h ago.
We have tracked this listing since 3 Sep 2026 (59 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Israel (remote)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Europe, Israel
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $179k–230k/yr
Middle 50% of 9 listings that do state pay — Engineering · Lead · Europe · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Ashby employer's own board first seen 59d ago · last seen 1h ago
The listing
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 responsibilitiesLead 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
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
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
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