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MongoDB’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

Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market





Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure

Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Responsibilities

Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs

Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing

Identify and configure key metrics to detect incidents and quantify service health, availability, and performance

Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure

Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel

Strong candidates may also have experience with

Leading major architectural shifts, such as moving from legacy storage stacks to recent multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements

Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)

Designing secure, multi-tenant runtime environments at scale





MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.

MongoDB’s base salary range for this role in Canada is:

$144,000—$200,000 CAD

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Apply on Kit Job: kitjob.ca/job/2g9b1n

📌 Senior Site Reliability Engineer, Storage Layer Services (SLS) (Toronto)
🏢 MongoDB
📍 Toronto