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Site Reliability Engineer
4 months ago
This SRE/Cloud Infrastructure Engineer role involves managing AWS-hosted Kubernetes platforms engineered for machine learning workloads like training, experimentation, and serving. Responsibilities include ensuring a robust and scalable infrastructure for advanced ML workloads, implementing and managing monitoring tools (Grafana, Loki, Prometheus, Thanos), and maintaining continuous deployment using GitOps practices with ArgoCD and Flux.
The engineer will build, test, configure, tune and support the Kubernetes infrastructure in the cloud, encompassing servers, storage, middleware, network, and client technologies. They will design and implement automation solutions across multiple platforms, recommending improvements for automated tools and identifying opportunities for increased orchestration adoption. The individual will work in a large, complex 24/7 e-commerce environment, gaining experience with various on-premises and cloud-based applications, as part of the Machine Learning Operations team supporting the ML platform. Required Skills & Experience 5+ years of professional experience In-depth Kubernetes experience ArgoCD Monitoring tools like Grafana or Prometheus Desired Skills & Experience Experience supporting ML platforms At least 2 years supporting GitOps Flux What You Will Be Doing Daily Responsibilities 70% Hands On 30% Team Collaboration The Offer Bonus eligible You will receive the following benefits: Medical Insurance Dental Benefits Vision Benefits Paid Time Off (PTO) 401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
