Platform Engineer (Kubernetes) at Clera
About the role
About the Role We're a small, fast-moving AI infrastructure company building an open-source, GitOps-native distributed operating system on top of Kubernetes — purpose-built to handle demanding AI workloads including inference pipelines, distributed training, storage orchestration, and GPU scheduling. Our platform enables companies to go from bare metal to a fully operational, production-grade AI cluster in days. As a Platform Engineer, you'll work shoulder-to-shoulder with the founding team to …
Interview process at Clera
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Clera interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.