Staff Software Engineer - Intelligence Platform
Salary not listed • Dublin, Ireland • Full-time
Posted 10d ago
About the job
Toast is seeking a Staff Software Engineer to lead the technical vision and architecture for its new Intelligence Platform in Dublin. This platform will serve as a governed data layer, bringing restaurant intelligence to various stakeholders including prospects, operators, Toast IQ, and AI agents. The role involves hands-on development, making key design decisions for data processing, privacy, and serving, and mentoring other engineers. The goal is to evolve the platform from initial aggregated data to real-time access for AI agents, ensuring new data products are shipped quickly and safely.
Responsibilities
- Own the technical vision and end-to-end architecture of the Intelligence Platform.
- Develop data processing, privacy, publishing, and serving components on Toast's data lake.
- Build privacy and compliance features into the platform, ensuring data is aggregated, anonymized, and auditable.
- Design efficient and scalable data access flows for tools and AI agents.
- Collaborate with cross-functional teams (Data Platform, Marketing, Product, Legal, Data Science) to define technical roadmaps.
- Establish and maintain high standards for reliability and quality.
- Mentor other engineers through design and code reviews.
- Utilize AI tooling to enhance productivity.
Requirements
- 5+ years of software engineering experience, with a focus on data-intensive or distributed systems.
- Proven technical leadership experience on multi-team projects.
- Ability to understand and model complex data domains at scale.
- Proficiency in Java, Kotlin, or another object-oriented language.
- Experience with cloud-native data platforms on AWS.
- Strong SQL and data modeling skills for large datasets.
- Experience building data products or platforms for other teams.
- Experience handling sensitive data responsibly (aggregation, anonymization, access controls).
- Ability to clearly explain technical trade-offs to non-engineering stakeholders.
- Experience with Apache Spark, Apache Iceberg, Snowflake, or Databricks is a plus.