Full-time jobs in Canada (315,739 jobs)

Explore full-time jobs across Canada. Choose a location and read the full job details.

315,739 listings · 45,425 employers Counted Nov 14, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (9,625 listings), Loblaw Companies Limited (2,859 listings), WSP in Canada (2,272 listings).

Common roles: Cook, Store manager, Project manager.

59,950 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	37,041
CAD / year	82,000.00	21,280
CAD / month	5,027.00	555
USD / year	121,000.00	203
CAD / week	1,737.00	69
CAD / day	320.00	32
USD / hour	22.00	19
EUR / year	68,000.00	11
GBP / year	40,000.00	10

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 1% remote, 15% hybrid, 83% on-site, 1% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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MongoDB

Senior Software Engineer, Cluster Scalability

BC, Canada
ON, Canada

$158,000 - $220,000 CAD

Apply on mongodb.com About employer

Applications open in a new tab.

Job details

Pay: $158,000 - $220,000 CAD
Experience: 5+ years of experience building distributed systems
Posting language: English
Posted: Sep 24, 2026

Original job description

Join Cluster Scalability, one of MongoDB's Online Transaction Processing teams, and help build the core infrastructure that makes MongoDB a world-class distributed database. The team builds the infrastructure and tools that let customers scale their workloads past what a single node can handle. We take pride in building clean abstractions over hard distributed systems problems, so users can focus on their data instead of worrying about where it lives or how it's accessed. Our work has a big impact: it solves the hardest data challenges faced by MongoDB's largest customers.

As a Senior Software Engineer on Cluster Scalability, you'll work on data partitioning, one of the hardest and most impactful problem areas at MongoDB today. You'll collaboratively design and build the distributed machinery that turns independent query-processing and storage nodes into a single, unified database system. Your team’s work will be to build the data-movement and dynamic-scaling features that run on top of it. Current work includes seamless horizontal scaling with minimal tradeoffs, better cluster elasticity and smarter workload execution. You'll solve complex performance problems and design protocols for moving and placing data without disruption. Your work will help the architecture scale reliably to meet customer demand at any volume.

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators.

This role can be based remotely in British Columbia or Ontario, Canada.

Candidate Profile

5+ years of experience building distributed systems
Experience with building production-level code with a large user base, robust design structure and rigorous code quality, written in C++.
Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
Passion for the theory and practice of system design for large-scale distributed systems, as well as hands-on or academic experience in the domain
Understands modern computer architecture and internals to the degree that they can reason about how specific design choices plays out in a system like MongoDB
Has demonstrated industry success or academic research in areas such as:
- High performance / low latency networking
- Performance tuning
- Distributed systems
- System observability
- System resiliency

Success Measures

In your first month, you’ll understand the high-level architecture of MongoDB, dive into the details of your team’s components, and resolve a few bugs
In the first three months, you’ll contribute to the development of a project slated for the next release of MongoDB, take on code review responsibilities, and participate in design reviews for new features
In the first six months, you’ll lead the development of a new feature and help mentor new engineers on the team

About 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 AI-native startups and approximately 75% of the Fortune 100, 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 is an equal opportunities employer.

Req ID: 3273558049

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:

$158,000 - $220,000 CAD

Apply on mongodb.com About employer

More about this job

Responsibilities

The Senior Software Engineer at MongoDB will design and build the systems that split data across machines and let the database grow smoothly. They will also solve performance problems and mentor newer engineers.

Requirements

Candidates need 5+ years building distributed systems and production C++ code, plus a computer science degree or equivalent experience. Strong knowledge of data structures, algorithms and system design is expected, along with understanding of computer architecture and performance.

Skills

C++
Distributed systems
Data partitioning
Horizontal scaling
Database internals
Performance tuning
Low-latency networking
System observability
System resiliency
Data structures
Algorithms
Software architecture
Computer architecture
Design reviews
Code review
Technical mentoring
Protocol design

Benefits

Equity
Employee stock purchase program
Flexible paid time off
Parental leave
Fertility and adoption assistance
RRSP with employer match
Mental health counseling
Backup child and elder care
Health, dental and vision benefits

Keywords

C++
distributed systems
database
MongoDB
data partitioning
sharding
horizontal scaling
cluster scalability
high performance networking
low latency
performance tuning
system observability
system resiliency
software engineer
senior software engineer
data-movement
dynamic scaling
code review
system design
remote Canada

Seniority

Senior

Perks

Generous paid time off
Flexible hours
Parental leave
Retirement plan
Stock or equity
Wellness program

Languages

English

Fields of study

Computer Science

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Work requirements

Full-time jobs in Canada