Remote ML DevOps Engineer – Cloud & Compute Clusters

Pathway Genomics Corp.

Palo Alto (CA)

On-site

USD 150,000 - 230,000

Full time

14 days+
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Job summary

Pathway Genomics Corp. is seeking a Machine Learning DevOps engineer with cloud and compute cluster management experience. The role focuses on scaling infrastructures, automating ML/LLM pipelines, and Linux administration in a cloud-centric environment.

You will manage GPUs, distributed compute, model versioning, and CI/CD workflows while collaborating with ML and software teams to support terabyte-scale data processing.

Qualifications

  • Proficiency in Linux and shell scripting as core tools for day-to-day tasks.
  • Experience with workload management and container orchestration (Slurm, Docker, Kubernetes).
  • Solid understanding of CI/CD tools and workflows (GitHub Actions, Jenkins, GitLab CI).
  • Cloud expertise across AWS, GCP, Azure with ML services (SageMaker Hyperpod, Vertex AI).
  • Familiarity with monitoring/logging tools (Grafana, CloudWatch, Prometheus, Loki).
  • Experience with infrastructure as code (Terraform, CloudFormation).
  • Experience with ML pipeline orchestration tools (MLflow, Kubeflow, Airflow, Metaflow).
  • Programming in Python with ML libraries (TensorFlow, PyTorch).
  • Experience with cluster, systems, and networks administration.

Responsibilities

  • Optimize infrastructure for ML training and inference (GPUs, distributed compute).
  • Automate and maintain ML/LLM pipelines (data ingestion, training, validation, deployment).
  • Manage model versioning, reproducibility, and traceability.
  • Work with terabyte-scale datasets and ML-focused CI/CD practices.
  • Monitor model performance and data drift in production.
  • Collaborate with ML engineers, software engineers, and platform teams.
  • Ensure scalability, reliability, and automation across the ML lifecycle.

Skills

Linux
Shell scripting
Cluster configuration
CI/CD
GitHub Actions
Jenkins
GitLab CI
Cloud infrastructure
AWS
GCP
Azure
SageMaker Hyperpod
Vertex AI
Monitoring
Grafana
CloudWatch
Prometheus
Loki
Terraform
CloudFormation
Kubeflow
Airflow
Metaflow
Python
TensorFlow
PyTorch
Infrastructure as code
ML pipeline orchestration

Education

BSc in Computer Science or Information Technology

Tools

Slurm
Docker
Kubernetes

Job description

Pathway Genomics Corp. is seeking a Machine Learning DevOps engineer with cloud and compute cluster management experience. The role focuses on scaling infrastructures, automating ML/LLM pipelines, and Linux administration in a cloud-centric environment.

You will manage GPUs, distributed compute, model versioning, and CI/CD workflows while collaborating with ML and software teams to support terabyte-scale data processing.

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