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# Senior Devops Engineer

- **Company:** Tomorrow Partners LLC
- **Location:** Saint Paul, MN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Monitoring of Systems, Python (Programming Language), Node.Js, Prometheus, Scientific Computating, Datadog, Scripting, Grafana, Kubernetes, Deployment Automation, Slurm, Machine Learning Operations, Terraform, Elk Stack, Golang
- **Published:** July 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=192fc4289426be04

## About the Role

* At least 6 years of experience as a Platform/DevOps/SRE Engineer in a containerized cloud environment experienced with AWS, GCP, or Azure and IaC, such as Terraform or Crossplane
 * Experience in fast-growing, cloud-native startup or scale-up environments
 * Strong sense of ownership and accountability for service reliability
 * Daily, hands-on use of AI coding agents; experience building agentic workflows is a plus
 * 10X mindset - always looking for the fastest, smartest path to a high-quality result
 * Daily use of AI coding agents (Claude Code, Copilot, etc.)- must; building agentic DevOps workflows- a plus
 * Experience with CI/CD tools and deployment methodologies in Kubernetes
 * Experience implementing and customizing monitoring systems (Datadog, Prometheus, Grafana, ELK Stack)
 * Experience working in an agile environment with high-velocity teams
 * Proficiency with scripting languages like Python, Node.js, and Go
 * Adaptable problem-solving mindset - thriving in changing environments and requirements
 * Excellent written and verbal communication skills, with the ability to collaborate effectively across distributed teams, time zones, and multiple R&D stakeholders

Bonus:

 * Experience with HPC / scientific computing- e.g., Slurm, AWS ParallelCluster, Azure CycleCloud
 * Familiarity with parallel filesystems- e.g., Lustre, NFS

## Description

* Develop and adopt AI-powered tools to make Development and Operations processes more efficient
 * Collaborate with weather scientists, engineers, and Spacecraft Mission Operations Engineers to optimize service performance, reliability, scale, security, and cost
 * Evolve and maintain adaptive cloud infrastructure to support our business strategy and enable smooth growth at scale
 * Build self-service platforms for scientists and developers to work independently
 * Support scientific computing workloads on HPC clusters (SLURM) alongside our cloud-native Kubernetes platforms
 * Introduce and integrate MLOps practices for GPU-based model deployment on Kubernetes
 * Maintain Production availability by participating in DevOps on-call shifts


## Related Videos

- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes)
- [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops)
- [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall)
- [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey)
- [We adopted DevOps and are Cloud-native, Now What?](https://www.wearedevelopers.com/videos/485-we-adopted-devops-and-are-cloud-native-now-what)

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