Senior Backend Engineer - Databases - Analytics

JobgetherData infrastructure

Based in CanadaFull-TimeSenior

SalaryBase compensation range of $164,490–$197,389 CAD for roles based in Canada

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Job Details

Strong experience building production-grade, user-facing software systems and solving complex engineering problems autonomously.
Ability to make sound technical and architectural decisions with minimal supervision in ambiguous or rapidly evolving environments.
Experience with distributed systems, data catalogs, table formats, query engines, or related data infrastructure technologies.
Strong proficiency in a programming language such as Go, C++, or Rust.
Track record of delivering software used in production by customers or internal users.
Practical familiarity with AI technologies and frameworks, focused on building reliable solutions.
Experience with cloud-native environments such as AWS, GCP, or Azure.
Experience using observability tools to understand, troubleshoot, and improve system behavior.
Ability to prototype, validate ideas, incorporate feedback, and iterate toward production-ready solutions.
Experience building distributed query engines is a plus.
Experience developing data warehouses, data lakes, or data engineering tools is advantageous.

Design, implement, test, and operate database components, including ingestion, query planning, distributed query execution, data formats, and storage formats.
Architect and build a scalable, multi-tenant SaaS database foundation with tenant isolation, usage tracking, quotas, audit logging, background jobs, and reliable service boundaries.
Develop APIs and database interfaces for AI agents, MCP tools, command-line interfaces, and internal applications to retrieve enterprise data.
Make engineering and architectural tradeoffs as the platform develops from prototype to production.
Instrument database services with metrics, logs, traces, alerts, and dashboards.
Contribute to technical direction across architecture, service boundaries, storage technologies, API contracts, deployment patterns, and engineering practices.
Work with product and infrastructure teams to turn evolving requirements into scalable technical solutions.
Own database solutions end to end, ensuring they are reliable, maintainable, and scalable.
Develop prototypes, gather feedback, validate assumptions, and refine solutions based on real-world usage.

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