jobapplier

Senior Infrastructure Engineer

Toast

Skills

Required

  • Infrastructure
  • AWS
  • Terraform
  • CloudFormation
  • Software Development
  • Python
  • Go
  • automation / tooling / backend development
  • relational database
  • Postgres / Oracle / MySQL
  • MongoDB
  • DynamoDB
  • Docker
  • Kubernetes

Preferred

  • compute / storage
  • implement auto-scaling policies
  • AI/ML Infrastructure
  • Observability
  • Telemetry
  • Datadog
  • Prometheus
  • Cloud Cost Optimization

Join Toast, a rapidly growing company in the restaurant technology space. As a Senior Infrastructure Engineer, you will design, build, and operate the foundational distributed systems that power the Toast platform. You will work on low-latency state and storage systems, scalable compute clusters, and high-throughput streaming pipelines. Your work will directly impact product delivery across the Product Development Life Cycle (PDLC). Enjoy benefits such as unlimited vacation, professional development reimbursement, and comprehensive medical coverage.

Architect, deploy, and manage low-latency, highly available storage solutions to power applications across the Toast product ecosystem.

Responsibilities

  • Ensure sub-second end-user latency, near-zero-downtime reliability, and high throughput across storage engines to support Toast's products.
  • Automate infrastructure provisioning and compute pipelines, right-size compute/storage resources, implement auto-scaling policies, and manage AWS infrastructure costs.
  • AI/ML Infrastructure support
  • Observability & Telemetry with Datadog, Prometheus
  • Cloud Cost Optimization

Requirements

  • Cloud & Infrastructure as Code: Hands-on experience building and managing scalable cloud infrastructure on AWS using Infrastructure as Code (Terraform, CloudFormation, etc.)
  • Software Development: Fluency in Python, Go, or a similar language for infrastructure automation, tooling, or backend development
  • Databases: Deep experience operating and tuning enterprise databases at scale. This should include at least one variety of relational database (such as Postgres, Oracle, or MySQL) and at least one type of nonrelational database (such as MongoDB, DynamoDB, Opensearch)
  • Containerization: Experience working with containerized environments and orchestration tools (e.g., Docker, ECS, Kubernetes)
  • Solid understanding of Site Reliability Engineering (SRE) principles, including monitoring, alerting, health checks, and performance troubleshooting in high-traffic environments