Senior Software Engineer, Foundational Storage

About this role

Sentry

Senior Software Engineer, Foundational Storage

San Francisco, CaliforniaFull-timeSenior

Checked 6h ago

Posted 13 Oct 2026 on Sentry's careers page

What the interview will test

Software Engineer interviews are usually assessed on

• Coding Proficiency
• System Design Fundamentals
• Debugging & Root Cause Analysis
• Data Modeling & Storage
• Testing & Quality Engineering
• Stakeholder Communication

Practicing for this role builds your session around these skills, with this posting's own requirements folded in.

What you'd do

• 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

What they're looking for

• 5+ years of software engineering experience building and operating distributed, stateful systems in production.
• Hands-on experience with object storage, relational databases, OR 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.