DevOps Engineer (Full-time)
Apply NowCompany: Strong Compute
Location: San Francisco, CA 94112
Description:
AI workloads are brutal-petabytes of data, distributed jobs, and real-time GPU orchestration. We're building an AI-first DevOps infrastructure that makes compute reliable, scalable, and cost-effective. If you love infrastructure automation, cloud-native engineering, and AI performance tuning, you'll love this role.
What you'll do
Design and manage scalable, fault-tolerant AI compute infrastructure
Automate GPU provisioning, multi-cloud scheduling, and scaling strategies
Improve observability, logging, and monitoring for real-time AI workloads
Optimize containerized deployments for Kubernetes, Nomad, or Slurm
Enhance security, CI/CD, and cloud networking for high-performance distributed trainingImplement security best practices for DevOps pipelines, including secrets management, infrastructure security, and compliance automation
Reduce infrastructure cost and maximize performance through automation and tuning
What we're looking for
Deep knowledge of CI/CD pipelines and infrastructure as code
Hands-on experience with monitoring and logging tools (Prometheus, Grafana, OpenTelemetry)
Proficiency in shell scripting, Python, or Go for automation
Experience with security best practices for cloud environments, including IAM, container security, and incident response
Nice to haves:
Experience managing large-scale clusters with Kubernetes or other approaches and cloud infrastructure
Experience withTerraform, Ansible, Helm, or Pulumi
Understanding of AI/ML compute environments (GPUs, CUDA, NCCL, Slurm, Horovod)
Our culture
We move fast. We ship weekly-new features, improvements, and fixes go live fast.
We test big. Every month, we stress test with large groups of users face to face, get real-world feedback, and iterate rapidly. We build together. On site only, in SF or Sydney.
We iterate relentlessly. Direct user feedback shapes our roadmap-we release, test, refine, and keep moving.
We travel when needed. Engineers may travel between SF and Sydney to run events and meet with clients.
Location: SF or Sydney (OG startup house vibe, great food, late nights, all the GPUs)
Equipment & Benefits:
Top spec Macbook + separate GPU cluster dev environments for each engineer.
Weekly cash bonus when you workout out 3+ times a week.
Comprehensive health benefits, including a choice of Kaiser, Aetna OAMC, and HDHP (HSA-eligible) plans for our SF-based team members.
Highest in the world 20 year exercise window for options
Don't have all the skills? Apply anyway! We're looking for people who move fast, learn fast, and ship fast. If that's you, let's talk.
Want to get to know us first? Attend one of our upcoming events.
What you'll do
Design and manage scalable, fault-tolerant AI compute infrastructure
Automate GPU provisioning, multi-cloud scheduling, and scaling strategies
Improve observability, logging, and monitoring for real-time AI workloads
Optimize containerized deployments for Kubernetes, Nomad, or Slurm
Enhance security, CI/CD, and cloud networking for high-performance distributed trainingImplement security best practices for DevOps pipelines, including secrets management, infrastructure security, and compliance automation
Reduce infrastructure cost and maximize performance through automation and tuning
What we're looking for
Deep knowledge of CI/CD pipelines and infrastructure as code
Hands-on experience with monitoring and logging tools (Prometheus, Grafana, OpenTelemetry)
Proficiency in shell scripting, Python, or Go for automation
Experience with security best practices for cloud environments, including IAM, container security, and incident response
Nice to haves:
Experience managing large-scale clusters with Kubernetes or other approaches and cloud infrastructure
Experience withTerraform, Ansible, Helm, or Pulumi
Understanding of AI/ML compute environments (GPUs, CUDA, NCCL, Slurm, Horovod)
Our culture
We move fast. We ship weekly-new features, improvements, and fixes go live fast.
We test big. Every month, we stress test with large groups of users face to face, get real-world feedback, and iterate rapidly. We build together. On site only, in SF or Sydney.
We iterate relentlessly. Direct user feedback shapes our roadmap-we release, test, refine, and keep moving.
We travel when needed. Engineers may travel between SF and Sydney to run events and meet with clients.
Location: SF or Sydney (OG startup house vibe, great food, late nights, all the GPUs)
Equipment & Benefits:
Top spec Macbook + separate GPU cluster dev environments for each engineer.
Weekly cash bonus when you workout out 3+ times a week.
Comprehensive health benefits, including a choice of Kaiser, Aetna OAMC, and HDHP (HSA-eligible) plans for our SF-based team members.
Highest in the world 20 year exercise window for options
Don't have all the skills? Apply anyway! We're looking for people who move fast, learn fast, and ship fast. If that's you, let's talk.
Want to get to know us first? Attend one of our upcoming events.