Software Engineer, Stats & Analytics

Role overview This is a backend engineering role on a Stats & Analytics team that tackles complex distributed systems problems in an advertising technology platform. The work focuses on scalability, performance, reliability, and data consistency across high-throughput services. The team is organized into Data Ingestion, Data Platform, and Data Delivery sub-teams, and engineers contribute to a modern data stack.

Responsibilities - Build highly scalable, distributed real-time microservices primarily in Go. - Work with large datasets across a variety of databases and data stores, including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, and MariaDB. - Use lakehouse and real-time analytics technologies such as Apache Iceberg, Apache Trino, StarRocks, and ClickHouse. - Develop software that integrates with messaging queues and streaming systems including Kafka, SQS, and Kinesis. - Write performance-efficient and memory-optimized code suitable for high-throughput environments.

Requirements - Two or more years of experience as a backend software engineer. - Very strong problem-solving skills across data structures, algorithms, and optimization. - Experience working with relational databases, key-value stores, or both. - Hands-on experience building scalable microservices and distributed systems.

Benefits and work setup - Remote-first position open to candidates located anywhere in Canada. - Base salary band of CAD $140,000 to $192,500, with potential eligibility for additional compensation such as bonuses or equity depending on location. - Retirement or pension savings, competitive paid time off, mental health support, health benefits from day one, parental leave, home office reimbursements, learning budgets, optional co-working access, and structured onboarding.