Infrastructure Engineer
Posted 2 Oct 2026
Advertised as “Senior Infrastructure Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
No salary listed for this role.
About the Role
As a Senior Infrastructure Engineer on the Compute & Storage Platform team in Toast, you will design, build, and operate the foundational distributed systems powering the Toast platform as the company expands into further international markets and broadens its product offerings to encompass retail shopping.
You will bridge the gap between core infrastructure and cutting-edge product development—building low-latency state and storage systems, scalable compute clusters, and high-throughput streaming pipelines. Your work will directly enable Toast product delivery across our Product Development Life Cycle (PDLC).
For this role it is a requirement that you 5+ years of industry experience
Key Responsibilities
- Online Databases and Storage: Architect, deploy, and manage low-latency, highly available storage solutions (RDS Postgres and Aurora Postgres; DynamoDB; OpenSearch; S3) to power applications across the Toast product ecosystem.
- High Availability & Realtime Performance: Ensure sub-second end-user latency, near-zero-downtime reliability, and high throughput across storage engines to support Toast's products across POS, phone, computer, drive-thru, and kiosk interfaces.
- Infrastructure for AI-Driven PDLC: Automate infrastructure provisioning and compute pipelines.
- Cost Optimization & Performance Engineering: Right-size compute/storage resources, implement auto-scaling policies, and manage AWS infrastructure costs without compromising platform reliability or latency SLAs.
Required Qualifications
1. Core Infrastructure & Automation
- 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.
2. Storage & Compute Operations
- 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).
- Experience working with containerized environments and orchestration tools (e.g., Docker, ECS, Kubernetes).