Who you are

• Experience: 1–3 years of professional experience in Software Engineering or Cloud Operations with hyper scalers
• Cloud & Containers: Solid understanding of Docker and Kubernetes orchestration, as well as experience with cloud platforms like AWS, GCP, or Azure
• Tooling: Familiarity with infrastructure-as-code (Terraform or Helm) and version control (Git)
• Observability Fundamentals: Experience using Prometheus and Grafana for system monitoring
• Storage Systems: Experience with distributed storage systems, like WekaFS, Vast, Ceph, MinIO, GPFS, Luster etc
• Problem Solving: Strong debugging skills and a passion for automation and operational excellence
• Experience monitoring AI/ML infrastructure, GPU clusters, and custom metrics for model performance and training pipelines
• Background in high-frequency, low-latency systems monitoring, chaos engineering, and reliability testing
• Contributions to open-source projects, preferably in the space of observability or storage
• Familiarity with security monitoring and compliance frameworks

What the job involves

• Our AI Infrastructure team is at the forefront of scaling the foundational systems that power this platform. We are looking for an Early Career Software Engineer to join our Storage and Observability team, where you will help design and maintain robust distributed storage solutions and develop comprehensive observability platforms
• In this role, you will work on the systems that provide critical insights into GPU utilization and system performance, ensuring seamless data access for the world's largest AI training and inference workloads

Benefits

• Competitive health insurance plans
• Dental and vision insurance
• Pre-tax flexible spending accounts
• Mental health support and services
• Income protection & retirement
• 401(k) plan
• AD&D insurance