Senior Cloud Platform Engineer– Presto SaaS (BYOC, GPU Platforms)

IBM

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Work type
On-site
Location
San Jose, CA
Posted
59 days ago

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Similar $191k
$141k most similar roles pay here $249k

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IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

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Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · Senior Cloud Platform Engineer– Presto SaaS (BYOC, GPU Platforms)

As a senior cloud platform engineer on the Presto SaaS team, you will design and deliver a BYOC (Bring Your Own Cloud) platform for Azure and AWS, focusing on GPU-enabled infrastructure. Day-to-day responsibilities include leading architecture and implementation of secure, scalable deployments using Kubernetes/OpenShift, GitOps-based operations with Argo CD/Flux CD, and developing cloud platform services in Go and Python. You will also create robust provisioning and operational tooling, collaborate with cross-functional teams to convert requirements into production-ready architectures, and mentor engineers while establishing engineering standards and documentation. This role requires deep expertise in Kubernetes and OpenShift, strong production experience with Azure and AWS, proficiency in GPU infrastructure, and solid scripting skills with Bash/Shell, alongside a proven track record of designing end-to-end cloud architectures and driving their implementation.

What you'll do

  • Define and drive architecture for Presto SaaS BYOC deployments on Azure and AWS.
  • Design GPU-native infrastructure patterns for high-performance query processing workloads.
  • Build and operate multi-cloud Kubernetes/OpenShift platforms for reliability and cost efficiency.
  • Implement standardized deployment workflows using Argo CD/Flux CD.
  • Develop cloud platform services, automation, and operators using Go and Python.
  • Lead security, networking, IAM, observability, and production readiness initiatives.

What we're looking for

  • 6+ years of hands-on cloud platform engineering experience in Azure and AWS.
  • Deep expertise in Kubernetes and OpenShift for enterprise environments.
  • Strong GPU infrastructure experience including sizing, scheduling, and performance tuning.
  • Proficient coding skills in Go and Python with solid Bash/Shell scripting abilities.
  • Proven track record designing and implementing end-to-end cloud architectures.
  • Hands-on experience deploying workloads using Argo CD or Flux CD.
  • Solid understanding of cloud-native technologies such as networking, IAM, security, and observability.

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