ClearML’s DevOps team is in charge of bringing ClearML to production. This includes supporting the development team, building a CI/CD pipeline, and supporting the ClearML production K8s pipeline, with hundreds of machines supporting thousands of users.
We are looking for a highly experienced senior devops engineer to join the team, and help bring our infrastructure to the next level.
Work is either fully remote or hybrid with offices in Tel Aviv.
Responsibilities
Join the DevOps team in charge of ClearML ML-Ops platform development and production environments
Design, build and expand infrastructure for supporting K8s based SaaS environments for thousands of users
Build a CI/CD pipeline
Support enterprise customers installing on-premises versions of the ClearML platform
Requirements
At least 5 years of experience with a leading cloud provider – AWS, Azure or Google Cloud
At least 5 years of scripting/programming experience (Python or equivalent)
At least 2 years of experience with Docker and Kuberbetes
Experienced with building high-availability / high-scalability systems
Experienced with building database clusters
Experienced with Linux administration
Experienced with building CI/CD pipelines
High-level English
Team player with excellent communication skills
Education
B.Sc in Computer Science, or equivalent
Apply
3+ years of experience in Customer Success, Account Management, or a similar client-facing role within a B2B SaaS or technology company.
Demonstrated ability to build and sustain strong executive and practitioner-level relationships across complex, multi-stakeholder accounts.
Strong commercial awareness, including experience managing renewals, mitigating churn risk, and identifying growth opportunities.
Excellent communication and presentation skills, with the ability to distill complex technical concepts into clear business narratives.
High degree of organization and follow-through, with experience managing a portfolio of accounts and multiple concurrent priorities.
Collaborative mindset and comfort working cross-functionally across Sales, Support, Product, and Engineering.
Comfort with AI/ML concepts and ability to develop fluency in technical platforms without being a deep practitioner.
