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Senior Platform Engineer, Datastores

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Senior Platform Engineer, Datastores in Canada new

  • Toronto

Responsibilities

  • Own the production performance and reliability of PostgreSQL, OpenSearch, and Redis.
  • Diagnose and resolve lock contention, connection pooling limits, slow queries, and job fan-out under load.
  • Lead capacity planning and load testing for web services.
  • Set standards for schema changes, migrations, indexing, and query patterns, including automated checks.
  • Review data-heavy product changes and teach effective datastore patterns.
  • Build dashboards, runbooks, and alerts for datastore incident diagnosis.
  • Partner with Infrastructure on multi-region data replication and recovery.
  • Share platform on-call responsibility and improve datastore knowledge across the engineering team.

Requirements

  • 5+ years building and running production systems, with significant experience in datastore performance and reliability.
  • Experience supporting multi-tenant systems at scale, including tenant isolation and noisy-neighbor protection.
  • Deep knowledge of PostgreSQL internals, including locking, MVCC, query plans, indexing, vacuum, and connection pooling.
  • Experience running OpenSearch or Elasticsearch at scale.
  • Experience with capacity planning and load testing for web services.
  • Ability to solve systemic problems and leave behind reusable tools and documentation.
  • Ability to write production-grade software and work comfortably in an application codebase.
  • Preferred experience with Rails, ActiveRecord, and Sidekiq at scale.
  • Preferred experience using Redis as a queue and cache under heavy load.
  • Preferred experience with cross-region replication, database failover, Kafka, or DynamoDB.
  • Degrees and big-name company experience are not required.

Benefits

  • Competitive compensation and early equity in a venture-backed company.
  • Comprehensive medical, dental, and vision coverage.
  • Three weeks of vacation, unlimited sick and mental health days, and a company-wide end-of-year shutdown.
  • $500 home-office setup stipend.
  • Unlimited token usage and access to AI tools.
  • High-impact environment with direct influence on company direction.
  • Accommodations are available on request during the recruitment process.

Salary: Competitive

Rootly

Rootly builds an AI-native incident management platform for SRE and DevOps teams, integrated with Slack and Microsoft Teams to coordinate on-call response, resolution, and retrospectives. It sells B2B SaaS subscriptions used by companies such as NVIDIA, Figma, Canva, and Squarespace. The privatel...

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