Senior Software Engineer owning AI - powered claims automation at Wagmo, a pet healthcare company. Improving claim accuracy, cost efficiency, and straight - through reimbursement.
About the role
- Senior Software Engineer building distributed storage systems for Sentry, an application monitoring platform. Designing Rust and Python APIs, reliability controls, and scalable infrastructure for developers.
Responsibilities
- Design and operate storage systems used across Sentry, including configuration and performance tuning
- Create APIs and abstractions that make storage easy for product teams to use, with correctness, security, and scale built in
- Solve storage challenges at scale, including consistency under concurrent access, sharding, rebalancing, and routing reads and writes across storage backends
- Work with product engineers to choose storage approaches, plan safe migrations, and help teams adopt the tools
- Plan and build with Platform and Infrastructure teams, including analytical storage and streaming, to deliver a fault-tolerant platform
- Align roadmaps and standards and design for failures and recovery
- Improve storage performance and cost efficiency
- Write primarily Rust and Python, with clear user-facing documentation
- Develop advanced testing scenarios, including production-scale chaos tests for backend and infrastructure outages
- Own latency and availability SLOs
- Improve monitoring and incident response
- Participate in the team’s on-call rotation
- Collaborate with product teams to turn storage needs into practical solutions
- Follow work from design and code through rollout and production for millions of developers
Requirements
- 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
- Understanding of distributed systems fundamentals, including consistency, concurrency, failures, and retries
- Proficiency in a systems language such as Go, C++, Java, or Rust
- Comfort working in Python
- Experience running services on Kubernetes in a cloud environment
- Experience with observability, SLOs, and incident response
- Familiarity with Terraform is a plus
- Good written and spoken English
- Experience with shared libraries or internal APIs, data migrations, or system performance and cost improvements is nice to have
- Willingness to work in the Toronto office on Mondays, Tuesdays, and Thursdays
- Required to answer whether visa sponsorship will be needed to work in Canada
Benefits
- Incentive compensation
- Equity grants
- Paid time off
- Group health insurance coverage
- Up to 10% bonus
- Hybrid work model with 2 days working remotely per week
- Open-source contributions centered in the role
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