Senior Ml Infrastructure - DevOps Engineer H/F Pathway

Why You Should Apply

- Intellectually stimulating work environment. Be a pioneer: you get to work with realtime data processing & AI.
- Work in one of the hottest AI startups, with exciting career prospects. Team members are distributed across the world.
- Responsibilities and ability to make significant contribution to the company' success
- Inclusive workplace culture

Further details

- Type of contract: Permanent employment contract
- Preferable joining date: Immediate.
- Compensation: based on profile and location.
- Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, United States, and Canada will be considered.

You are

- Former or current Linux / systems / network administrator who is comfortable living in the shell and debugging at OS and network layers (systemd, filesystems, iptables/security groups, DNS, TLS, routing).
- 5+ years of experience in DevOps/SRE/Platform/Infrastructure roles running production systems, ideally with highperformance or ML workloads.
- Deep familiarity with Linux as a daily driver, including shell scripting and configuration of clusters and services.

What we are looking for

- Strong experience with workload management, containerization, and orchestration (Slurm, Docker, Kubernetes) in production environments.
- Solid understanding of CI/CD tools and workflows (GitHub Actions, GitLab CI, Jenkins, etc.), including building pipelines from scratch.
- Hands-on cloud infrastructure experience (AWS, GCP, Azure), especially around GPU instances, VPC/networking, storage, and managed ML services (e.g., SageMaker HyperPod, Vertex AI).
- Proficiency with infrastructure as code (Terraform, CloudFormation, or similar) and a bias toward automation over manual operations.
- Experience with monitoring and logging stacks (Grafana, Prometheus, Loki, CloudWatch, or equivalents).
- Familiarity with ML pipeline and experiment orchestration tools (MLflow, Kubeflow, Airflow, Metaflow, etc.) and with model/version management.
- Solid programming skills in Python, plus the ability to read and debug code that uses common ML libraries (PyTorch, TensorFlow) even if you are not a fulltime model developer.
- Strong ownership mindset, comfort with ambiguity, and enthusiasm for scaling and hardening critical infrastructure for an MLheavy environment.
- Willingness to learn.

Pathway is building LiveAI systems that think and learn in real time as humans do. Our mission is to deeply understand how and why LLMs work, fundamentally changing the way LLMs models think.

The team is made up of AI luminaries. Pathway's CTO, Jan Chorowski, co-authored papers with Geoff Hinton and Yoshua Bengio and was one of the first people to apply attention to speech. Our CSO, Adrian Kosowski, received his PhD in Theoretical Computer Science at the age of 20 and made significant contributions across numerous scientific fields, including AI and quantum information. He also served as a professor and a coach for competitive programmers at Ecole Polytechnique. The team also includes numerous world's top scientists and competitive programmers, alongside seasoned Silicon Valley executives.

Pathway has strong investor backing. To date, we have raised over $15M;

Our offices are located in Palo Alto, CA, as well as Paris, France, and Wroclaw, Poland.