Staff Software Engineer (Infrastructure)

• As a Staff 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)
• 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

Benefits

• Peer and company recognition programs
• Unlimited Vacation
• Sabbatical opportunity after five years
• Professional Development Reimbursement Program
• Commitment to Employee Wellness through resources such as a quarterly Wellness Stipend
• Various peer and company recognition programs
• 401(k) and matching
• Medical, Dental, & Vision Coverage
• Mental Health Benefits
• Subsidized backup childcare- Cloud & Infrastructure as Code: Hands-on experience building and managing scalable cloud infrastructure on AWS using Infrastructure as Code (Terraform, CloudFormation, etc.)
• Solid understanding of Site Reliability Engineering (SRE) principles, including monitoring, alerting, health checks, and performance troubleshooting in high-traffic environments
• 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)
• Software Development: Fluency in Python, Go, or a similar language for infrastructure automation, tooling, or backend development
• Cloud Cost Optimization
• AI/ML Infrastructure support
• Observability & Telemetry with Datadog, Prometheus