Staff Software Engineer - Intelligence Platform

Toast, Inc.; Dublin; Hybrid; EUR 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Toast, Inc. in Dublin is seeking a Staff Software Engineer to lead the Intelligence Platform within the TREX team. You will own the architecture on Toast's data lake, drive data processing, privacy, publishing and serving, and collaborate with Data Platform, Marketing, Product, Legal and Data Science.

Role combines hands-on Kotlin/Java with Spark and Iceberg, mentoring engineers, shipping data products, and shaping a roadmap for real-time access for AI agents and business users.

Qualifications

• 5+ years in software engineering, leading multi-team data projects.
• Proficiency in Java or Kotlin and SQL/data modeling.
• Experience with cloud-native data platforms on AWS and data privacy.

Responsibilities

• Own the technical vision and end-to-end architecture of the Intelligence Platform.
• Hands-on coding with Kotlin/Java, Spark, and Iceberg on the data lake.
• Ship early versions, iterate from feedback with Marketing and partners.
• Embed privacy/compliance with Legal, Privacy and Data Science in code.
• Create reusable building blocks to ensure data product quality and safety.
• Design flows for scalable, safe data access for tools and AI agents.
• Collaborate with Marketing, Product, Legal, IR and Data Science on roadmaps.
• Set reliability/quality bar and mentor engineers through reviews.
• Leverage AI tooling to boost day-to-day productivity.

Skills

Data-intensive systems

Technical leadership

Java / Kotlin

SQL / data modeling

AWS cloud

Explain trade-offs

Tools

Apache Spark

Apache Iceberg

Snowflake

Databricks

Job 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 https://careers.toasttab.com/toast-benefits

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.

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 [e-mail].

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