Software Engineer - Storage & Observability (Early Career)
About The Position
Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle. 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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- Build and deploy scalable observability tools (metrics, logs, traces) using the latest state of the art open source distributed telemetry, log search and tracing systems
- Develop and implement infrastructure-as-code for stack deployment using Terraform, Ansible, and Helm
- Write clean, production-grade code in Go or Python to create custom K8S operators, tools and automation
- Support the operation of high-performance distributed storage systems (such as Ceph, Weka/Vast) and Kubernetes-native storage operators
- Optimize storage systems for GPU clusters (10-50 GB/s per-node throughput) and scale storage infrastructure to support thousands of nodes
- Partner with senior engineers to enhance distributed tracing and optimize data paths for AI workloads
Benefits
- We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work.
- The US base salary range for this full-time position is: $165,000 - $200,000 + equity + benefits.
- Our salary ranges are determined by location, level and role.
- Individual compensation will be determined by experience, skills, and job-related knowledge.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
