Step into a pivotal role at a leading B2B technology company working on core data infrastructure. This position focuses on architecting systems capable of handling terabytes of data daily in a Toronto-based team. This foundational position involves backend and systems engineering, not traditional data engineering.

You will design, build, and optimize high-throughput data processing systems, integrating real-time and batch processing capabilities. Additionally, you will ensure infrastructure stability to support rapid scaling and collaborate closely with internal teams for reusable technical abstractions. Key Responsibilities:

- Design and optimize high-volume data processing systems
- Engineer robust storage solutions for time-series data




- Drive architectural decisions for fault tolerance
- Develop automated tooling for data quality and reliability
- Collaborate with stakeholders for technical abstractions

Requirements:

- Experience maintaining backend systems processing terabytes of data
- Robust knowledge in system architecture and failure modes
- Proficiency in Java, Scala, or Kotlin
- Hands-on experience with large-scale processing frameworks
- Ability to navigate ambiguity and drive projects independently

Leverage your expertise to shape the future of data infrastructure with this innovative tech company.

📌 Core Data Infrastructure Engineer Role (Toronto)
🏢 Calliere
📍 Toronto