About The RoleWe’re looking for an engineer who thrives on building scalable data platforms and enjoys tackling complex backend challenges. This isn’t just a data engineering role—you’ll be designing and optimizing the data platform that powers Terminal’s API, managing everything from data streaming and storage to analytics features at terabyte scale and beyond.You should be comfortable navigating both data and backend engineering, with a solid foundation in software development. You’ll work with advanced data architectures, including Iceberg, Flink, and Kafka, tackling large-scale challenges and contributing to core product development using Java and Node.Js. If you’re excited by the opportunity to shape a high-impact platform and tackle diverse engineering problems, we’d love to hear from you. What You Will Do Own projects aimed at enhancing data replication, storage, enrichment, and reporting capabilities. Build and optimize effective streaming and batch data pipelines that support our core product and API. Design scalable storage solutions for handling terabytes of IoT and time-series data. Develop and maintain real-time data systems to ingest growing data volumes. Implement distributed tracing and observability patterns to improve monitoring and troubleshooting. Write clean,



maintainable code in Java and Node.Js for various platform components. Shape architectural decisions to ensure scalability and reliability throughout the data platform. The Ideal Candidate Will Have 3+ years of experience in platform engineering or data engineering. 2+ years of experience designing and optimizing data pipelines at TB to PB scale. Strong system design skills with a focus on data workflows. Familiarity with lake-house architectures (e.G., Iceberg, Delta, Hudi, Snowflake). Experience with real-time data processing tools like Kafka, Spark and Flink. Knowledge of distributed systems and large-scale data challenges. Proficient in Java, with a focus on clean, maintainable code. Strong problem-solving skills and a collaborative mindset. Tech Stack Languages: JavaScript / TypeScript, Java Infrastructure as Code (IaC): SST, AWS CDK Cloud Services:- Compute and Orchestration: AWS Lambda, AWS Step Functions Storage: Amazon S3, Amazon DynamoDB Messaging and Events: Amazon SQS, Amazon EventBridge Data Processing: AWS Glue, Apache Flink, Kafka, Iceberg, DuckDB CI/CD: GitHub Actions Benefits Strong compensation and equity packages Brand new MacBook and computer equipment Top-tier health/dental benefits and a flexible healthcare spending

📌 Ctrl Senior Platform Engineer Position (Toronto)
🏢 Agilus by Synergie
📍 Toronto