Platform Engineer

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.