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Senior ML Infrastructure / DevOps Engineer

Pathway • United States
Full Remote
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Pathway seeks a Senior ML Infrastructure / DevOps Engineer to design, operate, and scale GPU- and CPU-based clusters for ML training and inference across multiple cloud providers. You will own production infrastructure including container orchestration, CI/CD, monitoring, and automation that directly determines how fast models are trained, shipped, and iterated upon. The role requires 5+ years in DevOps/SRE/Platform roles, deep Linux expertise, and hands-on experience with Kubernetes, Terraform, AWS/GCP/Azure GPU instances, and ML pipeline tools.

Key Highlights
Design, operate, and scale GPU/CPU clusters for ML training and inference across multiple cloud providers
Build and maintain robust ML pipelines with reproducibility, traceability, and rollback guarantees
Own CI/CD, monitoring, logging, and alerting for training and serving infrastructure
5+ years DevOps/SRE experience with deep Linux, Kubernetes, and IaC skills
Remote-first role with optional office access in Palo Alto, Paris, or Wroclaw
Key Responsibilities
Design, operate, and scale GPU and CPU clusters for ML training and inference
Automate infrastructure provisioning using infrastructure-as-code
Build and maintain robust ML pipelines
Implement and evolve ML-centric CI/CD
Own monitoring, logging, and alerting across training and serving
Work with terabyte-scale datasets
Partner with ML engineers to productionize their work
Participate in on-call rotation and lead incident response
Technical Skills Required
DevOps Kubernetes Cloud Infrastructure
Benefits & Perks
Intellectually stimulating work environment
Work in one of the hottest AI startups with exciting career prospects
Distributed team across the world
Permanent employment contract
Remote work with optional office access
Nice to Have
Familiarity with ML pipeline tools (MLflow, Kubeflow, Airflow, Metaflow)
Reading and debugging PyTorch/TensorFlow code
Willingness to learn

Job Description

About Pathway

Pathway is shaking the foundations of artificial intelligence by introducing the world's first post-transformer model that adapts and thinks just like humans. Pathway's breakthrough architecture (BDH) outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. The company is trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is headquartered in Palo Alto, California.

The opportunity

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