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System Infra Engineer

Senior Product Engineer (remote, Europe)💼 Full-time🗓 2026-07-30

Core

Building hyperscalable software for ML experimentation and automation, unifying infrastructure for machine learning and deep learning workflows.

Role type

Senior backend/system/infrastructure engineer (ML/AI)

Builds

Cloud native machine learning automation platform

Domain

Machine Learning / Deep Learning / Cloud Infrastructure

Deliverable

production ML models | infrastructure

Required skills

Python, Golang, Distributed systems, Data Streaming, Map Reduce, Graphs, Storage/File systems, Monitoring tools, Cloud providers (AWS, GCP, Azure), Docker, Kubernetes

Preferred skills

Scaling experimentation, parallel jobs, hyperparameter tuning, automation

Technologies

Python, Golang, AWS, GCP, Azure, Docker, Kubernetes

Responsibilities

Develop hyperscalable software for ML experimentation and automation, work with founding team on infrastructure abstraction, build endurable business systems

Seniority

Senior, hands-on IC

Rewrite
## About the role We are looking for a senior backend/system/infrastructure engineer. ## Requirements - Strong Programming Skills (Python, Golang, etc.) - Familiarity with monitoring tools. - Familiarity with cloud providers (AWS, GCP, Azure, etc.) - Excitement to scale up experimentation, parallel jobs, hyperparameter tuning, automation using Dockers, Kubernetes, Cloud native tools - Understanding of Distributed systems, Data Streaming, Map Reduce, Graphs, and Storage/File systems ## What you will do - Join highly motivated, curious, hardworking engineers in the field of ML/AI/Infrastructure - Work closely with founding team in developing hyperscalable software for ML experimentation and automation - Enjoy the tough startup journey towards building endurable business ## About the company We're building a Cloud Native Machine learning Automation Platform. We are making a system that solves reproducibility, automation, and scalability for machine learning and deep learning applications. With increasingly fragmented landscape of disparate tools, applications, computation resources across different special hardware and cloud providers, Polyaxon unifies and abstracts away infrastructure for easier and highly efficient machine learning and deep learning workflows.
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