Senior DevOps Engineer: AI-Powered Cloud & HPC Platform

Tomorrow.io

Saint Paul (MN)

On-site

USD 160,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Comprehensive health benefits
Unlimited paid time off

Job summary

Tomorrow.io's engineering team builds life-changing software at scale, from data-heavy infrastructure to user-centric experiences for B2B, B2C and B2D products affecting billions of lives. We seek a Senior DevOps Engineer to drive reliability, security, and efficiency of our weather platform with AI-enabled tooling and scalable cloud infrastructure.

You'll collaborate across weather scientists and engineers to optimize performance and cost, deploy AI-driven workflows, and maintain production

Qualifications

  • 6+ years as a Platform/DevOps/SRE engineer in containerized cloud environments.
  • Experience with AWS, GCP, or Azure and IaC (Terraform or Crossplane).
  • Strong sense of ownership and accountability for service reliability.

Responsibilities

  • Develop AI-powered tools to improve DevOps efficiency.
  • Collaborate with weather scientists, engineers, and Spacecraft Mission Operations Engineers to optimize performance, reliability, scale, security, and cost.
  • Evolve and maintain adaptive cloud infrastructure to support growth at scale.
  • Build self-service platforms for scientists and developers to work independently.
  • Support HPC workloads (SLURM) alongside Kubernetes platforms.
  • Introduce and integrate MLOps practices for GPU-based model deployments on Kubernetes.
  • Maintain production availability by participating in on-call shifts.

Skills

Kubernetes
CI/CD
Python
Go
AI tooling
SRE/DevOps
AWS/GCP/Azure
On-call

Tools

Terraform
Crossplane
Datadog
Prometheus
Grafana
ELK Stack
SLURM

Job description

Tomorrow.io's engineering team builds life-changing software at scale, from data-heavy infrastructure to user-centric experiences for B2B, B2C and B2D products affecting billions of lives. We seek a Senior DevOps Engineer to drive reliability, security, and efficiency of our weather platform with AI-enabled tooling and scalable cloud infrastructure.

You'll collaborate across weather scientists and engineers to optimize performance and cost, deploy AI-driven workflows, and maintain production

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