We are looking for a Platform Engineer to own the infrastructure that runs our deploy anywhere platform. The role involves building and maintaining infrastructure-as-code, deploying and scaling ML/NLP inference workloads, and improving observability. The ideal candidate will have strong Kubernetes experience, hands-on experience with infrastructure-as-code, and proficiency in at least one major cloud provider.
Requirements
- 2+ years in platform engineering, DevOps, SRE, or backend infrastructure roles.
- Strong Kubernetes experience (deployment, debugging, scaling — not just `kubectl apply`).
- Hands-on with infrastructure-as-code: Terraform, Helm, or Pulumi.
- Experience with at least one major cloud provider (AWS preferred; GCP or Azure also valued).
- Proficiency in one or more of: Go, Python, Java.
- Comfortable reading and contributing to backend codebases.
- Working knowledge of CI/CD systems (GitHub Actions, Bazel, ArgoCD, or similar).
- Solid fundamentals in Linux, networking, and distributed systems.
Benefits
- 100% paid Medical, Dental, Vision for employees.
- Option of Health Savings Account (HSA) or Flexible Savings Account (FSA).
- Generous paid time off (PTO) plus paid sick time and holidays.
- Professional development and training opportunities.
- Company virtual happy hours and fun team building activities.