Senior Software Engineer, Catalog Store

Role overview

Build and operate the low-latency storage and retrieval services that power product catalog experiences across search, advertising, customer and shopper applications, and AI systems. This senior individual contributor role spans distributed systems, databases, ingestion workflows, and production reliability, with ownership from early design through rollout and ongoing operation.

Responsibilities - Lead projects across catalog services and datastores, turning open-ended needs into designs, implementations, production launches, and operational plans. - Manage a self-hosted PostgreSQL fleet, including sharding, replication, capacity, backups, schema and index tuning, upgrades, and legacy system retirement. - Bring new data stores into production and migrate APIs with techniques such as shadow testing, staged traffic shifts, and clear deprecation plans. - Improve ingestion workflows so catalog data stays fresh, reliable, and observable. - Set reliability practices through service objectives, monitoring, automation, and runbooks; join on-call and lead incident follow-up. - Write design documents, align with partner teams, review code, and mentor engineers.

Requirements - Demonstrated experience leading engineering projects from an ambiguous problem through design, launch, and operation. - Experience building or operating low-latency, high-throughput RPC services. - Experience running self-hosted databases or core infrastructure, including sharded or replicated clusters. - Production operations experience, including observability, on-call, incident response, and postmortems. - Strong written and verbal communication, with the ability to explain technical decisions and align stakeholders. - Degree in a related engineering or computing field, or equivalent practical experience.

Nice to have - Experience with a major cloud platform and infrastructure-as-code tools; key-value stores or distributed SQL databases; workflow orchestration or data pipelines; and zero-downtime data-store migrations. - Mentoring experience and measurable improvements to latency, availability, or cloud costs. - Experience applying AI tools to engineering or operations work.

Benefits and work setup Remote work is available to candidates based in Ontario, Alberta, British Columbia, or Nova Scotia, with Toronto preferred. The role includes a base salary range of CAD $168,000–$177,500 and eligibility for equity grants.