Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)
MongoDB · Montreal, Canada | Toronto, Canada · PTO Site Reliability Engineering
About this role
MongoDB is hiring a senior-level Site Reliability Engineer in the software engineering function based in Montreal, Canada | Toronto, Canada. The posting calls out experience with Python, AWS, GCP, Azure. Compensation is listed at $144,000–$200,000 per year.
- Role
- Site Reliability Engineer
- Function
- software engineering
- Level
- senior
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Montreal, Canada | Toronto, Canada
- Department
- PTO Site Reliability Engineering
More roles at MongoDB
Job description
from MongoDB careersMongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.
You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.
This role can be based out of our Toronto or Montreal office or remotely in the Canada while physically based in an Eastern or Central time zone location.
The ideal candidate should
- Have 6+ years of experience working on software development and operating distributed systems
- Proficiency in Python, Go, or a similar language
- Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
- Possess a customer-focused mindset
- Value efficiency in processes and operations
- Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil