Related skills
cloud python kubernetes data infrastructure mlops📋 Description
- Build and scale massive distributed compute and storage systems.
- Architect multi-cluster orchestration across regions.
- Design storage for exabyte-scale finetuning datasets.
- Develop internal training platform for model training and fine-tuning (Kubernetes/SLURM).
- Implement metadata and data lineage for data pipelines.
- Operate deployments and on-call rotations for training jobs.
🎯 Requirements
- 4+ years in Data Infrastructure, MLOps, or Infrastructure Engineering.
- Experience with foundational compute and storage platforms.
- Proficiency in Python.
- Experience with Kubernetes-native tooling.
- Ability to design scalable, reliable, secure systems.
- Comfortable with ambiguity in rapid-growth AI environment.
🎁 Benefits
- Lunch vouchers
- Gympass subscription
- Mobility/transportation allowance
- Health insurance for you and your family
- Parental leave policy
- Visa sponsorship
🛃 Visa sponsorship
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