About the company
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.
Responsibilities
- Work hands-on with Spark, Iceberg, and our streaming infrastructure - diagnosing performance, reasoning through architectural decisions, and building systems that other teams depend on at scale
- Contribute to technical strategy for data platform initiatives alongside other senior engineers and technical leads, translating complex problems into clear direction and executable plans
- Design and evolve the platform's API surfaces so that engineers across Toast can self-service - adoption and ease-of-use are part of the job
- Influence adjacent teams and align stakeholders across engineering, product, and leadership on architectural decisions
- Mentor engineers on the team and raise the bar on engineering practices across the organisation
- Use AI tooling as a genuine force multiplier in your day-to-day work and help the team do the same
Requirements
- 8+ years in software engineering with meaningful experience in data platform or distributed systems
- Deep expertise in Apache Spark and Apache Iceberg, not just operational familiarity
- Strong background in streaming infrastructure (Apache Kafka, Apache Pulsar, or similar) and cloud-native data platforms on AWS
- Experience designing internal platforms and developer-facing abstractions - you think about your platform's users as carefully as product engineers think about end users
- Demonstrated ability to drive technical alignment across multi-team environments, including the communication work that makes architectural changes actually stick
- Databricks experience is a bonus but we care more that you understand what's running underneath it
Conditions
- Hybrid role requiring in-office collaboration two days per week in our Dublin office.