Technical lead for Toast's restaurant Intelligence Platform in Dublin (hybrid, 2 days/week in office): architecting a governed data layer on Toast's AWS data lake, hands-on with Kotlin/Java, Spark, Iceberg and SQL to ship privacy-safe aggregated data products for Marketing, partners and eventually AI agents, while mentoring engineers.
Compensation
Not disclosed
Location
Dublin, Ireland
Work setup
Hybrid
Seniority
Staff
Employment
Not specified
Experience
5+ years
Category
Software engineering
Posted
Skills
agentic-ai
ai
api
aws
cloud
cloud-native
data-lake
data-modeling
data-science
databricks
distributed-systems
graphql
iceberg
java
kotlin
opensearch
proof-of-concept
pulsar
s3
snowflake
spark
sql
Must have
5+ years in software engineering building data-intensive or distributed systems, including technical leadership across multiple teams
Ability to understand complex data domains at scale and turn them into reliable data products
Proficiency in Java, Kotlin or another object-oriented language
Experience with cloud-native data platforms on AWS
Strong SQL and data modeling skills on large datasets
Experience building data products or platforms that other teams depend on
Experience handling sensitive data responsibly (aggregation, anonymization, access controls)
Ability to explain technical trade-offs clearly to non-engineering partners
Hybrid role: two days per week in the Dublin office
Nice to have
Experience with Apache Spark, Apache Iceberg, Snowflake or Databricks
Full description
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
We are hiring a Staff Software Engineer to join Toast Reporting Experience (TREX) in Dublin. TREX is building the Intelligence Platform: a governed data layer that brings Toast's restaurant intelligence to prospects, operators, Toast IQ and AI agents.
As a Staff Software Engineer, you will be the technical lead for the Intelligence Platform. You will establish its architecture on Toast's data lake and make the key design calls across data processing, privacy, publishing and serving. You will work closely with Data Platform, Marketing, Product, Legal and Data Science, do deep hands-on work, and grow the engineers on your team. You will take the platform from its first version, a regular publication of aggregated benchmark data, to fresher data, self-serve access for Marketing, and eventually real-time access for AI agents. Success looks like new data products shipping on the platform quickly and safely.
A day in the life (Responsibilities)
Own the technical vision and end-to-end architecture of the Intelligence Platform, from early design through production rollout
Work hands-on with Kotlin/Java, Spark and Iceberg on Toast's data lake, writing the code that sets the pattern for others
Move fast from idea to proof of concept: ship early versions, get feedback from Marketing and other partners, and iterate
Build privacy and compliance into the platform from the start: work with Legal, Investor Relations, Privacy and Data Science to define the data-access rules and minimum group sizes, and enforce them in code so every published number is aggregated, anonymized and auditable
Create reusable building blocks so every data product on the platform meets the same bar for quality and safety
Design the flows that let tools and AI agents access the data efficiently, safely and at scale
Partner with Marketing, Product, Legal, Investor Relations and Data Science to turn business goals into a technical roadmap
Set the bar for reliability and quality, and mentor other engineers through design reviews, code reviews and the example you set
Use AI tooling as a genuine force multiplier in your day-to-day work and help the team do the same
What you'll need to thrive (Requirements)
5+ years in software engineering, building data-intensive or distributed systems, including technical leadership of projects involving multiple teams
Demonstrated ability to understand complex data domains at scale, and to turn them into reliable data products
Proficiency in Java, Kotlin or another object-oriented language
Experience with cloud-native data platforms on AWS
Strong SQL and data modeling skills on large datasets
Experience building data products or platforms that other teams depend on
Experience handling sensitive data responsibly, such as aggregation, anonymization or access controls
Ability to explain technical trade-offs clearly to non-engineering partners
Experience with Apache Spark, Apache Iceberg, Snowflake or Databricks is a bonus
This is a hybrid role requiring two days per week in our Dublin office.
Our tech stack
The Intelligence Platform will source data from multiple sources: OpenSearch, Data Lake, Snowflake.
Toast's data lake is built on AWS: Apache Iceberg tables on S3 and Apache Spark for data processing. TREX's backend services are primarily Kotlin and Java, use Apache Pulsar for messaging, and serve data to other teams through APIs, including federated GraphQL.
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
**Our Total Rewards Philosophy **We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at .
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:
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:
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.
------
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.