Senior Software Engineer - Analytics & Search (OLAP) – Hybrid Dublin

United States Digital Space LLC; Dublin; Hybrid; EUR 110,000 - 150,000; Full time

Job summary

Toast is seeking a Senior Software Engineer to join our OLAP Platform team in Dublin. You’ll work on the analytical data layer powering real-time reporting and AI-driven products.

You will ingest events, index them into OpenSearch, and expose data through a federated GraphQL layer for multiple tenants including restaurant customers. You’ll thrive if you love platform engineering at scale, cross-team collaboration, and building resilient, observable backend services with Kotlin/Java.

Qualifications

• Strong backend engineering skills in Kotlin, Java, or another object-oriented language
• Experience working with large datasets where correctness and performance matter
• Comfort with document-based or columnar data stores (BigTable, DynamoDB or similar)
• Interest in core search engineering (ranking algorithms, semantic search, NLQ)
• Ability to work across team boundaries and ship clean platform solutions
• Ability to break down problems and understand consuming teams' needs
• Use of AI tooling as a core part of workflow

Responsibilities

• Contribute to OLAP Platform in Dublin, ensuring low latency and real-time data access
• Collaborate with multiple teams to scale platform usage and performance
• Help design robust APIs and data interfaces for internal consumers
• Apply AI tooling to improve development and deployment workflows

Skills

Kotlin/Java

Large datasets

BigTable/DynamoDB

Search engineering

Cross-team collaboration

Problem decomposition

AI tooling

Platform APIs

OpenSearch/Elasticsearch

Data pipelines

GraphQL/REST APIs

Ruby exposure

Tools

OpenSearch

Elasticsearch

Job description

Toast is seeking a Senior Software Engineer to join our OLAP Platform team in Dublin. You’ll work on the analytical data layer powering real-time reporting and AI-driven products.

You will ingest events, index them into OpenSearch, and expose data through a federated GraphQL layer for multiple tenants including restaurant customers. You’ll thrive if you love platform engineering at scale, cross-team collaboration, and building resilient, observable backend services with Kotlin/Java.