About
Toast empowers restaurants of all sizes to build great teams, increase revenue, improve operations, and delight guests.
We are a NYSE-listed Boston-based public company. We are also series F funded and have raised 400M USD in the last round in 2020.
We pair our deep understanding of the restaurant industry with powerful cloud based software and restaurant-grade hardware to deliver an intuitive, all-in-one platform, across point of sale, guest marketing, digital ordering & delivery, and payroll & HR.
Tech stack
Java
Kotlin
Amazon Web Services (AWS)
.NET
C#
React.js
Angular (2+)
PostgreSQLCompany video
Candid answers by the company
Toast helps restaurants of all sizes streamline operations, boost revenue, enhance team management, and deliver exceptional guest experiences.
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Jobs at Toast
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Kubernetes
DockerAmazon Web Services (AWS)Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building a restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.
At Toast, our Site Reliability Engineers (SREs) are responsible for keeping all customer-facing services and other Toast production systems running smoothly. SREs are a blend of pragmatic operators and software craftspeople who apply sound software engineering principles, operational discipline, and mature automation to our environments and our codebase. Our decisions are based on instrumentation and continuous observability, as well as predictions and capacity planning.
About this roll* (Responsibilities)
- Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
- Partner with development teams to improve services through rigorous testing and release procedures
- Participate in system design consulting, platform management, and capacity planning
- Create sustainable systems and services through automation and uplift
- Balance feature development speed and reliability with well-defined service level objectives
Troubleshooting and Supporting Escalations:
- Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
- Diagnose performance bottlenecks and implement optimizations across infrastructure, databases, web, and mobile applications
- Implement strategies to increase system reliability and performance through on-call rotation and process optimization
- Perform and run blameless RCAs on incidents and outages aggressively, looking for answers that will prevent the incident from ever happening again
Do you have the right ingredients? (Requirements)
- Extensive industry experience with at least 7+ years in SRE and/or DevOps roles
- Polyglot technologist/generalist with a thirst for learning
- Deep understanding of cloud and microservice architecture and the JVM
- Experience with tools such as APM, Terraform, Ansible, GitHub, Jenkins, and Docker
- Experience developing software or software projects in at least four languages, ideally including two of Go, Python, and Java
- Experience with cloud computing technologies ( AWS cloud provider preferred)
Bread puns are encouraged but not required
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𝐎𝐮𝐫 𝐚𝐧𝐬𝐰𝐞𝐫:
AI voice employees that handle the work nobody wants to do. Customer calls at 11 PM. Follow-ups that slip through the cracks. Onboarding that takes forever. These aren't just tasks—they're the things that keep great people from doing great work.
𝐖𝐡𝐚𝐭 𝐰𝐞'𝐯𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝:
The best technology feels invisible. Our AI employees don't feel like software—they feel like that reliable teammate who just gets things done. No hand-holding, just consistent results that make everyone's day better.
𝐇𝐨𝐰 𝐰𝐞 𝐭𝐡𝐢𝐧𝐤 𝐚𝐛𝐨𝐮𝐭 𝐢𝐭:
This isn't about replacing anyone. It's about giving your team superpowers. When AI handles the repetitive conversations, your people can focus on solving problems, building relationships, and creating things that matter.
𝐖𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞𝐬 𝐮𝐬:
Every business has incredible people doing mundane work. We think that's backwards. So we built AI employees that free up human potential—one conversation at a time.
We're not trying to change the world overnight. We're just making tomorrow a little better than today, for teams who believe work should be meaningful.
Ready to give your team superpowers?
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1
