Senior Infrastructure Engineer

Toast; Ireland; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Unlimited Vacation

Professional Development Reimbursement

Wellness Stipend

401(k) Matching

Medical, Dental, & Vision

Job summary

Toast is hiring a Senior Infrastructure Engineer to design, build, and operate the core distributed systems powering Toast’s platform. You will bridge core infra with product development, delivering low-latency storage, scalable compute clusters, and high-throughput streaming pipelines.

You will enable Toast product delivery across our PDLC, building databases, ensuring sub-second latency, and optimizing cloud resources while maintaining reliability in a growing, international environment.

Qualifications

• Experience building scalable cloud infrastructure using IaC.
• Proficiency in Python, Go, or equivalent for automation.
• Extensive experience with relational and non-relational databases at scale.
• Hands-on with containers and orchestration (Docker, Kubernetes).
• Strong SRE practices: monitoring, health checks, alerting.

Responsibilities

• Design, build, and operate foundational distributed systems powering Toast.
• Bridge core infrastructure with product development for low latency.
• Architect and manage storage, compute clusters, and streaming pipelines.
• Ensure sub-second latency and high throughput across services.
• Optimize compute/storage costs while maintaining reliability.

Skills

SRE Principles

AI/ML Infra

Observability

Cost Optimization

IaC

Databases Ops

Python/Go

Tools

Terraform

CloudFormation

Docker

Kubernetes

OpenSearch

PostgreSQL

Datadog

Prometheus

Job description

• 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)
• 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

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
• AI/ML Infrastructure support
• Observability & Telemetry with Datadog, Prometheus
• Cloud Cost Optimization