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Senior Software Engineer, Foundational Storage

Sentry· Engineering
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Hybrid (Toronto, Ontario, Canada)CA$200k - CA$420k + equity + bonusFull-timePosted 1w ago

About the role

Senior role in Sentry’s Foundational Storage team, building and supporting stateful storage systems (object storage, relational databases, key-value stores, caches) used across products, with a focus on consistency, availability, performance, and cost-efficiency.

Responsibilities

  • Design and operate storage systems used across Sentry, including their configuration and performance tuning.
  • Create APIs and abstractions that make storage easy for product teams to use, with best practices for correctness, security, and scale built in.
  • Solve storage challenges at scale, including consistency under concurrent access, sharding and rebalancing, and routing reads and writes across storage backends as workloads grow.
  • Work with product engineers to choose storage approaches, plan safe migrations, and help teams adopt the tools you build.
  • Plan and build with other Platform and Infrastructure teams, including analytical storage and streaming, to deliver a complete, fault-tolerant platform for product teams. Align roadmaps and standards, and design for failures and recovery.
  • Improve storage performance and cost efficiency by making better use of backends and resources, while keeping the platform simple for product teams.
  • Write code primarily in Rust and Python, with clear user-facing documentation. Develop advanced testing scenarios, such as production-scale chaos tests covering backend and infrastructure outages.
  • Own latency and availability SLOs for your services, improve monitoring and incident response, and participate in the team’s on-call rotation.
  • Work within Postsres and perform database tuning or query optimization

Qualifications

  • 5+ years of software engineering experience building and operating distributed, stateful systems in production.
  • Hands-on experience with object storage, relational databases, and caching systems at production scale. Experience with key-value or wide-column stores is a plus.
  • An understanding of distributed systems fundamentals, including consistency, concurrency, and what happens when requests fail or need to be retried.
  • Proficiency in a systems language such as Go, C++, Java, or Rust, and comfort working in Python. We primarily use Rust and Python, and welcome engineers who are new to Rust.
  • Experience running services on Kubernetes in a cloud environment, including observability, SLOs, and incident response. Familiarity with Terraform is a plus.
  • Good written and spoken English, especially in explaining technical choices and writing documentation.
  • Nice to have: experience building shared libraries or internal APIs, migrating data between systems, or improving system performance and cost

Skills

Required:RustPythonDistributed systems

Benefits

  • Equity (Offers Equity)
  • Plus up to 10% bonus
  • Group health insurance coverage
  • Paid time off
  • Incentive compensation
Last updated Oct 25, 2026. Interested? Apply on the company site.
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