Staff Software Engineer, Infrastructure

Toast
Dublin, Ireland
On-site

Who this role is best for

Geared toward infrastructure engineers comfortable with distributed systems and cloud automation, this role suits those with experience in high-throughput storage and compute systems, and who can manage in-office collaboration in Dublin, Ireland.

Best fit for

  • Candidates with experience in building scalable cloud infrastructure on AWS using IaC tools like Terraform and CloudFormation.
    — “Hands-on experience building and managing scalable cloud infrastructure on AWS using Infrastructure as Code (Terraform, CloudFormation, etc.).”
  • Individuals who have operated enterprise databases at scale, including relational and non-relational variants.
    — “Deep experience operating and tuning enterprise databases at scale.”
  • Professionals skilled in containerization and orchestration tools such as Docker, ECS, and Kubernetes.
    — “Experience working with containerized environments and orchestration tools (e.g., Docker, ECS, Kubernetes).”
  • Engineers with a strong background in systems reliability and performance troubleshooting in high-traffic environments.
    — “Solid understanding of Site Reliability Engineering (SRE) principles, including monitoring, alerting, health checks, and performance troubleshooting in high-traffic environments.”

Things to consider

  • The role requires in-office presence two days per week, which may affect remote flexibility.
    — “** This is a hybrid role requiring in-office presence two days per week ***”
  • Candidates should be prepared to work with multiple storage and compute systems across AWS and internal platforms.
    — “Architect, deploy, and manage low-latency, highly available storage solutions (RDS Postgres and Aurora Postgres; DynamoDB; OpenSearch; S3)”

How to stand out

  • Highlight experience with low-latency storage systems and high-throughput pipelines in your resume and interview.
    — “building low-latency state and storage systems, scalable compute clusters, and high-throughput streaming pipelines”
  • Emphasize your ability to automate infrastructure provisioning and manage compute pipelines effectively.
    — “Automate infrastructure provisioning and compute pipelines.”
  • Showcase your expertise in cost optimization and resource right-sizing for cloud environments.
    — “Right-size compute/storage resources, implement auto-scaling policies, and manage AWS infrastructure costs”
  • Demonstrate your experience with monitoring and observability tools like Datadog and Splunk.
    — “We rely heavily on Datadog and Splunk for monitoring and observability”
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Architect, deploy, and manage low-latency, highly available storage solutions
  • Ensure sub-second end-user latency, near-zero-downtime reliability, and high throughput across storage engines
  • Automate infrastructure provisioning and compute pipelines
Typical background
Hands-on experience building and managing scalable cloud infrastructure on AWS using Infrastructure as Code (Terraform, CloudFormation, etc.)Deep experience operating and tuning enterprise databases at scale

Skills & requirements

Required

Cloud & Infrastructure As CodeSoftware DevelopmentStorage & Compute OperationsSystems Reliability & Observability

Preferred

Observability & Telemetry With Datadog, PrometheusAi/ml Infrastructure SupportCloud Cost Optimization

Stack & domain

PythonGoTerraformCloudformationDockerECSKubernetesPostgreSQLAurora PostgresDynamodbOpensearchS3AWSAnsibleDatadogPrometheusFirehydrantJVMNode.jsLeadershipCommunicationProblem-solvingTeamworkCloud InfrastructureDistributed SystemsStorage SystemsCompute ClustersStreaming PipelinesAi-driven PDLCCost OptimizationPerformance Engineering

About the role

Original posting from Toast

About the Role

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).

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

  • 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.

  • 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).

Containerization: Experience working with containerized environments and orchestration tools (e.g., Docker, ECS, Kubernetes).

  • Systems Reliability & Observability

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

Our Tech Stack

Toast’s commercial products run on a stack that ranges from guest and restaurant-facing Android tablets to backend microservices, guest- and restaurant-facing web apps, payment systems, event buses, and more. 

The Infrastructure Engineering group manages Toast's infrastructure via the AWS API, using configuration management tools like Terraform, Ansible, and internally developed clients using Python and Go. We rely heavily on Datadog and Splunk for monitoring and observability and on FireHydrant for alerting and incident response.

Infrastructure Engineering provides the products and services to support, deploy, and monitor our product suite, which uses a microservice architecture written using JVM and Node.js apps. AWS products are also in heavy usage, ranging from S3 to RDS, DynamoDB, ECS, Lambda, and many others. We have our own platform for user management, service discovery/elevations, and load balancing. We use Apache Spark for large scale data workloads including query and batch processing. The main Toast POS application is an Android application written in Java and Kotlin. For data synchronization between tablets and our cloud platform we operate RabbitMQ and Apache Pulsar clusters as well as direct tablet communication to the applications' RESTful and GraphQL APIs.

Why Join Us?

You will be at the ground floor of building the data-storage systems that powers our flagship products. You'll solve complex, high-scale infrastructure challenges at the intersection of distributed storage and compute.

  • This is a hybrid role requiring in-office presence two days per week ***

#LI-HYBRID

#BI-Hybrid

How Toast Uses AI in its Hiring Process

Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. We ask that you complete interviews and assessments on your own, without real-time AI tools, recording, or transcription bots, unless we tell you otherwise in advance. To learn more: https://careers.toasttab.com/ai-in-hiring

Our Approach to Hybrid Working

We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast

People Are the Secret Ingredient in Our Recipe for Success

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry brings together people with a wide range of backgrounds, experiences, and perspectives, and we value that same breadth at Toast. We strive to build a culture grounded in authenticity, respect, and humility, where every Toaster has a real opportunity to grow, contribute, and do their best work—raising the bar in delivering exceptional experiences for our customers and each other.

Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.

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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Source: Toast careers

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