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Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)

MongodbMontreal; Toronto, CanadaFull-timeSalary not listed · Typical pay in CanadaPosted Nov 11, 2026

Mongodb is hiring for the position of Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS) in Montreal; Toronto, Canada. It is listed as a full-time, staff/principal-level position.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

Mongodb is hiring for the position of Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS) in Montreal; Toronto, Canada. It is listed as a full-time, staff/principal-level position.

Reading the advert, the employer asks for 6+ years of experience.

Skills and tools named in the text include MongoDB, AWS, Azure, GCP, Google Cloud and CAD.

No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.

Benefits mentioned in the advert: pension or retirement plan, paid time off, parental leave and equity or stock options.

The advert does not mention visa sponsorship. If you would move to Canada for this job, check the official work permit route first (DGJ Insight lists it where we have it).

Dev Global Jobs found this job on Greenhouse on Nov 11, 2026.

Employer
Mongodb
Location
Montreal; Toronto, Canada
Job type
Full-time
Level (from the title)
staff/principal-level
Pay
Not stated by the employer
Experience asked
6+ years
Found
Nov 11, 2026 on Greenhouse
Employer text
865 words, about 4 min to read
Skills named in the advert
MongoDBAWSAzureGCPGoogle CloudCAD
Before you apply
  • Apply only on the official page (mongodb.com). Dev Global Jobs is not the employer and never asks for a fee.
  • Compare your own experience with the 6+ years the advert asks for, and show it clearly near the top of your CV.
  • Mirror the skills the advert names (MongoDB, AWS, Azure and GCP) in your CV where you really have them; applicant tracking systems look for these words.
  • Read the employer’s full text below (about 4 min) before you apply.
  • Build or check your CV with the free DGJ CV Builder.
Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 12, 2026
Pay benchmark
Average wage, Canada
CAD 85,588 average / year

Source: OECD Average annual wages, 2025

Cost of living · Montreal
75.3 vs New York = 100

UN living-cost index for Montreal (ICSC post adjustment 32.3), as of 1 Oct 2026.

Source: ICSC post adjustment classifications (icsc.un.org)

Work permit route
  • Temporary Foreign Worker Program (LMIA-based): Employer needs a Labour Market Impact Assessment
  • International Mobility Program (LMIA-exempt): Work permits under treaties, intra-company transfers, CUSMA and others
  • Express Entry (permanent residence): Points-based selection for skilled workers
Job description

About the role

Full text from the employer, as published on Greenhouse, arranged into sections. Nothing added or removed.

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.

01The 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)

02Responsibilities

  • 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

03Strong candidates may also have experience with

  • Leading major architectural shifts, such as moving from legacy storage stacks to new 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

04About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

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.

Req ID: 1273396252

AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.

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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