[Hiring] DevOps / Site Reliability Engineer @Bespoke Labs

Role Description

We're looking for a mid-level DevOps / Site Reliability Engineer to own and scale our cloud infrastructure. You'll work closely with engineering and ML teams to keep our systems reliable, observable, and fast — directly supporting the infrastructure that powers AI data pipelines at scale.

• Own cloud infrastructure on AWS — EC2, EKS, RDS, S3, IAM, VPC
• Manage Kubernetes clusters and container orchestration end-to-end
• Build and maintain CI/CD pipelines using GitHub Actions or similar
• Implement monitoring, alerting, and observability stacks (Prometheus, Grafana, or DataDog)
• Improve reliability, performance, and security of production systems
• Automate infrastructure with Terraform or similar IaC tools
• Debug and resolve issues across complex, distributed systems
• Participate in design reviews and help raise the infrastructure bar

Qualifications

• 3–5 years in DevOps, SRE, or infrastructure engineering
• Strong AWS experience — EKS, EC2, RDS, S3, IAM
• Kubernetes — deployment, scaling, troubleshooting in production
• CI/CD pipelines — GitHub Actions, ArgoCD, or similar
• Infrastructure as Code — Terraform, Pulumi, or CDK
• Python or Go scripting
• Experience working in production environments with real users
• Comfort with ambiguity and ability to operate autonomously

Nice to Have

• Experience supporting ML training workloads or GPU clusters
• Familiarity with distributed computing or large-scale data pipelines
• Prior work at an AI, ML, or data company
• Open-source contributions or published technical writing

Benefits

• Competitive compensation and meaningful equity
• Direct impact on frontier AI model training and evaluation infrastructure
• Flexible, remote-friendly environment with low bureaucracy
• A small, high-caliber team with deep AI research expertise
• Health, wellness, and learning & development benefits