Senior Backend Engineer – Databases, Analytics

Posted Sep 28

This is a fully remote position, open to applicants in Canada, +1 more country.

πŸ“‹ Description

β€’ Design, implement, test, and manage database components, which include data ingestion, query planning, distributed query execution, data formats, and storage formats.

β€’ Assist in architecting and developing a scalable multi-tenant SaaS database service that features tenant isolation, usage tracking, quotas, audit logs, background jobs, and dependable service boundaries.

β€’ Create APIs and database interfaces for AI agents, MCP tools, CLIs, and internal applications to facilitate rapid data retrieval.

β€’ Balance the need for rapid experimentation with long-term reliability as the project transitions from prototype to production.

β€’ Integrate metrics, logs, traces, alerts, and dashboards into database services.

β€’ Define architecture, service boundaries, storage options, API contracts, deployment patterns, and engineering methodologies.

β€’ Assume ownership of scalable and maintainable database solutions that align with user workflows.

β€’ Collaborate with product, infrastructure, and engineering teams.


⛳️ Requirements

β€’ Extensive experience in developing production-quality, user-facing software systems.

β€’ Familiarity with AI technologies and frameworks.

β€’ Experience in distributed systems, catalogs and table formats, as well as query engines.

β€’ Proficiency in a programming language such as Golang, C++, or Rust.

β€’ Demonstrated history of delivering software that is utilized in production environments.

β€’ Exposure to cloud-native platforms such as AWS, GCP, or Azure.

β€’ Experience with observability tools to analyze and troubleshoot system behavior.

β€’ Capability to address complex engineering challenges and make design decisions with minimal oversight.

β€’ Ability to navigate ambiguity, define project scope, take ownership, and collaborate effectively.

β€’ Experience in building distributed query engines, data warehouses/data lakes, or data engineering tools is an advantage.


🏝️ Benefits

β€’ Restricted Stock Units (RSUs).

β€’ 100% remote work.

β€’ Career growth opportunities.

β€’ In-person onboarding.

β€’ 30 days of annual leave per year, including 3 Grafana Shutdown Days.

β€’ Open communication and regular company-wide updates.

β€’ Autonomy and support to deliver exceptional work and explore new initiatives.

β€’ Empowered, high-trust, low-ego culture.

β€’ Approachable and transparent leadership.

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