Staff Software Engineer (Intelligence Platform)

Toast; Ireland; Sur place; EUR 140 000 - 200 000; Plein temps

Avantages offerts par ce poste

Unlimited Vacation

Sabbatical after five years

Wellness stipend

Professional development reimbursement

401(k) with matching

Medical, Dental, Vision coverage

Mental health benefits

Backup childcare

Résumé du poste

Toast is seeking a Staff Software Engineer to serve as the technical lead for the Intelligence Platform. You will establish architecture on Toast's data lake, shape data processing, privacy and serving, and collaborate with Legal, Data Science, Marketing and Product teams.

Hands-on work with Kotlin/Java, Spark, and Iceberg will drive the platform’s pattern and quality. You will move the platform from first-version publications to real-time access for AI agents, crafting reusable blocks and

Qualifications

• Proven experience delivering data-intensive platforms.
• Ability to design scalable data architectures for multiple teams.
• Strong SQL and data modeling skills for large datasets.
• Proficiency in Java or Kotlin for production systems.

Responsabilités

• Own the technical vision and end-to-end architecture of the Intelligence Platform.
• Lead design and code reviews across multiple teams and stakeholders.
• Build privacy/compliance into the platform from the start.
• Ship early data products and iterate based on feedback.
• Mentor engineers and set reliability and quality standards.

Connaissances

5+ years in software engineering

Data products/platforms

Strong SQL/data modeling

Java or Kotlin

AWS cloud-native data platforms

Explain trade-offs clearly

Apache Spark

Outils

Apache Spark

Apache Iceberg

Databricks

Snowflake

Description du poste

• As a Staff Software Engineer, you'll be the technical lead for the Intelligence Platform. You'll establish its architecture on Toast's data lake and make key design decisions across data processing, privacy, publishing and serving. You'll work closely with Data Platform, Marketing, Product, Legal and Data Science, do deep hands-on work, and grow the engineers on your team
• You'll 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 means new data products ship on the platform quickly and safely
• 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 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

Benefits

• Peer and company recognition programs
• Unlimited Vacation
• Sabbatical opportunity after five years
• Professional Development Reimbursement Program
• Commitment to Employee Wellness through resources such as a quarterly Wellness Stipend
• Various peer and company recognition programs
• 401(k) and matching
• Medical, Dental, & Vision Coverage
• Mental Health Benefits
• Subsidized backup childcare

Requirements

• 5+ years in software engineering, building data-intensive or distributed systems, including technical leadership of projects involving multiple teams
• Experience building data products or platforms that other teams depend on
• Demonstrated ability to understand complex data domains at scale, and to turn them into reliable data products
• Experience with cloud-native data platforms on AWS
• Ability to explain technical trade-offs clearly to non-engineering partners
• Strong SQL and data modeling skills on large datasets
• Proficiency in Java, Kotlin or another object-oriented language
• Experience handling sensitive data responsibly, such as aggregation, anonymization or access controls
• Experience with Apache Spark, Apache Iceberg, Snowflake or Databricks is a bonus