At a glance
- Workplace
- Hybrid
- Location
- Dublin
About the role
- As a Staff Infrastructure Engineer on the Compute & Storage Platform team at Toast, you will design, build, and operate foundational distributed systems powering the Toast platform.
- You will bridge the gap between core infrastructure and cutting-edge product development by building low-latency state and storage systems, scalable compute clusters, and high-throughput streaming pipelines.
- Your work will directly enable Toast product delivery across the Product Development Life Cycle.
Responsibilities
- 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.
- 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.
- Automate infrastructure provisioning and compute pipelines for AI-Driven PDLC.
- Right-size compute and storage resources, implement auto-scaling policies, and manage AWS infrastructure costs without compromising platform reliability or latency SLAs.
Requirements
- Hands-on experience building and managing scalable cloud infrastructure on AWS using Infrastructure as Code (Terraform, CloudFormation, etc.).
- Fluency in Python, Go, or a similar language for infrastructure automation, tooling, or backend development.
- Deep experience operating and tuning enterprise databases at scale, including 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).
- Solid understanding of Site Reliability Engineering (SRE) principles, including monitoring, alerting, health checks, and performance troubleshooting in high-traffic environments.
Preferred qualifications
- Observability & Telemetry with Datadog, Prometheus
- AI/ML Infrastructure support
- Cloud Cost Optimization
Workplace
- Hybrid role requiring in-office presence two days per week
Skills
- AWS
- Terraform
- CloudFormation
- Python
- Go
- Postgres
- Aurora Postgres
- DynamoDB
- OpenSearch
- S3
- MongoDB
- Docker
Show all 15 skills
- ECS
- Kubernetes
- Ansible
