
51 - 200 employees
Founded 2024
đ€ Artificial Intelligence
đą Enterprise
âïž SaaS
Artificial Intelligence âą Enterprise âą SaaS
Fundamental is an enterprise AI company that builds large tabular models (LTMs) such as NEXUS, pre-trained on billions of tables to detect patterns and predict outcomes from structured data. The company offers an enterprise-grade predictive analytics platform that can be deployed with minimal code or integrated deeply with cloud partners like AWS, emphasizing privacy, security, and scalability. Born from academic research and backed by major investors, Fundamental targets large organizations seeking to extract foresight from their databases and deploy predictive models at cloud scale.
đ February 26
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Founded 2024
đ€ Artificial Intelligence
đą Enterprise
âïž SaaS
Artificial Intelligence âą Enterprise âą SaaS
Fundamental is an enterprise AI company that builds large tabular models (LTMs) such as NEXUS, pre-trained on billions of tables to detect patterns and predict outcomes from structured data. The company offers an enterprise-grade predictive analytics platform that can be deployed with minimal code or integrated deeply with cloud partners like AWS, emphasizing privacy, security, and scalability. Born from academic research and backed by major investors, Fundamental targets large organizations seeking to extract foresight from their databases and deploy predictive models at cloud scale.
âą Lead and mentor a team of DevOps engineers, fostering technical growth and collaboration âą Define and drive the infrastructure roadmap aligned with company objectives âą Architect and oversee cloud infrastructure design and implementation âą Establish best practices, standards, and processes for infrastructure development and operations âą Partner with Engineering, Research, and FDE to align infrastructure capabilities with business needs âą Drive the evolution of Kubernetes clusters optimized for GPU workloads, Production SaaS hosting and varied enterprise deployment models âą Champion GitOps practices using ArgoCD for continuous deployment âą Establish infrastructure as code standards using Terraform âą Define monitoring and observability strategy for distributed systems âą Collaborate with ML engineers to optimize infrastructure for model training and serving âą Own infrastructure reliability, performance, and security posture âą Implement and maintain cost optimization strategies (FinOps) for cloud resources
âą 7+ years of experience in cloud infrastructure and DevOps, with 3+ years in a technical leadership role âą Proven track record of building and leading high-performing infrastructure teams âą Strong experience with AWS, GCP and Azure âą Deep expertise in Kubernetes, including multi-cluster management, GPU workload optimization, resource scheduling and autoscaling, and network policies and security âą Extensive experience with cloud networking, including VPC design, load balancer configuration, network security and segmentation, and cross-cloud networking solutions âą Strong CI/CD expertise, preferably with GitHub Actions âą Proficiency in Terraform âą Proficiency with GitOps tools (ArgoCD preferred) âą 3+ years of experience with Python âą Experience with monitoring and observability tools âą Experience with FinOps practices and cloud cost optimization âą Excellent communication skills with ability to translate technical concepts for diverse audiences.
âą Competitive compensation with salary and equity âą Comprehensive health coverage, including medical, dental, vision, and 401K âą Fertility support, as well as paid parental leave for all new parents, inclusive of adoptive and surrogate journeys âą Relocation support for employees moving to join the team in one of our office locations âą A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action
Apply Nowđ February 25
Weekend DevOps Engineer for Sporty Group improving their DevOps infrastructure across several countries. Collaborating with a team and mentoring junior members while working remotely.
đȘđș Europe â Remote
â° Full Time
đĄ Mid-level
đ Senior
â DevOps & Site Reliability Engineer (SRE)
đ February 17
Infrastructure/DevOps Engineer responsible for managing AWS and Kubernetes at Thrill Labs. Working on high-scalability projects and improving security measures in a fast-growing tech startup.
đȘđș Europe â Remote
â° Full Time
đ Senior
đŽ Lead
â DevOps & Site Reliability Engineer (SRE)
đ February 15
Senior DevOps Engineer designing secure and scalable infrastructure for a decentralized trading platform in Europe. Collaborating with a skilled team on cloud-native solutions and automating processes.