Software Engineer II (Backend + Data pipelines) (Winnipeg)
Location
winnipeg, mb
Job Type
Full-time
Category
Other-General
Posted
May 25, 2026
Role Overview
We’re seeking a Software Engineer II with strong backend development experience and a passion for solving complex data challenges at scale. In this role, you’ll design, build, and optimize distributed systems that extract, enrich, and process metadata for a wide range of content, and collaborate closely with ML engineers, product managers, and cross‑functional partners to integrate machine learning models and LLM-based services into production pipelines. Key Responsibilities
Design and build scalable systems to extract, enrich, and process metadata from millions of documents, images, and audio content. Leverage LLMs to integrate capabilities like summarization, classification, extraction, and enrichment into metadata pipelines. Collaborate with cross‑functional teams, including ML engineers and product managers, to deliver scalable, efficient, and reliable metadata solutions. Optimize and refactor existing systems for performance, scalability, and reliab...
We’re seeking a Software Engineer II with strong backend development experience and a passion for solving complex data challenges at scale. In this role, you’ll design, build, and optimize distributed systems that extract, enrich, and process metadata for a wide range of content, and collaborate closely with ML engineers, product managers, and cross‑functional partners to integrate machine learning models and LLM-based services into production pipelines. Key Responsibilities
Design and build scalable systems to extract, enrich, and process metadata from millions of documents, images, and audio content. Leverage LLMs to integrate capabilities like summarization, classification, extraction, and enrichment into metadata pipelines. Collaborate with cross‑functional teams, including ML engineers and product managers, to deliver scalable, efficient, and reliable metadata solutions. Optimize and refactor existing systems for performance, scalability, and reliab...