Staff Software Engineer (Infrastructure)

Toast; Ireland; On-site; EUR 110,000 - 140,000; Full time

Benefits offered by this job

Unlimited Vacation

Sabbatical after five years

Professional Development Reimbursement

Wellness Stipend

401(k) and matching

Medical, Dental, & Vision Coverage

Mental Health Benefits

Subsidized backup childcare

Job summary

Toast seeks a Staff Infrastructure Engineer on the Compute & Storage Platform team to design, build, and operate foundational distributed systems powering the Toast platform as the company expands internationally.

You will bridge core infrastructure with product development, building low-latency state and storage systems and scalable compute clusters to support Toast’s PDLC across multiple markets and devices.

Qualifications

• Hands-on experience building scalable cloud infrastructure on AWS using Infrastructure as Code
• Deep experience with databases at scale (Relational and Non-relational)
• Strong understanding of SRE principles, monitoring, and performance troubleshooting in high-traffic environments

Responsibilities

• Design, build, and operate foundational distributed systems powering the Toast platform
• Bridge core infrastructure with product development, enabling low-latency state and storage systems
• Ensure sub-second end-user latency and near-zero-downtime reliability across storage engines
• Automate infrastructure provisioning and compute pipelines on AWS using IaC

Skills

Cloud Computing

Infrastructure as Code

Site Reliability Engineering

Databases

Containerization

Python

Go

Monitoring

Performance Troubleshooting

Tools

Terraform

CloudFormation

Docker

ECS

Kubernetes

Datadog

Prometheus

Job description

• 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