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Staff Software Engineer, Networking & Observability
Alberta; British Columbia; Manitoba; Nova Scotia; Ontario; Quebec
·
On-site
·
Full-time
·
1mo ago
Compensation
CA$159,000 - CA$221,000
Benefits & Perks
•Parental leave
•Flexible work arrangements
•Team events and activities
•Professional development budget
•Generous paid time off and holidays
•Parental Leave
•Flexible Hours
•Learning
Required Skills
Python
Node.js
PostgreSQL
Join and be a part of leading the MongoDB Networking Observability team, helping build the core of a distributed database! Our team focuses on creating and enhancing components which facilitate communication between cooperating distributed processes and make these processes, and their communication, easily observable. Networking Observability’s responsibilities include improving MongoDB networking, improving the efficiency of resource utilization and building low-overhead observability features.
Our team currently consists of six engineers, some located in New York City and some fully remote. We operate close to the bottom of the stack, and have a lot of influence over the performance and robustness of our open source database as well as the development efficiency of the engineering team overall. Recently we’ve worked on POCs and performance tests for new architectural directions in our networking stack, and are integrating Open Telemetry to accelerate investigation of issues or performance bottlenecks in our tests.
Are you excited to help the MongoDB engineering team build a better database? We are! Join us today, and we can build a faster, more reliable, exceptionally observable, database system together.
Note: This role can be based out of our NYC office or remotely from anywhere in North America.
Candidate Profile
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10+ years of experience building distributed systems
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Experienced and passionate about delivering and deploying a product with cross-team stakeholders
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Experience with building production-level code with a large user base, robust design structure, and rigorous code quality. Experience in C++ is required
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Understands modern computer architecture and internals to the degree that they can reason about how specific design choices play out in a system like MongoDB
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Excellent verbal and written communication skills and highly motivated to collaborate with colleagues and mentor junior engineers
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Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
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Good computer networking fundamentals and a desire to improve them
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Has demonstrated industry success or academic research in areas such as
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High performance / low latency networking
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Performance tuning
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Building high performance distributed and concurrent systems
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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 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 is an equal opportunities employer.
Req ID: 3263251943
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:
$159,000—$221,000 CAD
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About MongoDB

MongoDB
PublicMongoDB, Inc. is an American software company that develops and provides commercial support for the source-available database engine MongoDB, a database for unstructured data.
5,000+
Employees
New York
Headquarters
$24.0B
Valuation
Reviews
3.7
2 reviews
Work Life Balance
3.0
Compensation
2.0
Culture
3.0
Career
2.5
Management
3.5
25%
Recommend to a Friend
Pros
Practical experience with Node.js and MongoDB
Learning NoSQL database management
Web scraping experience
Cons
Poor application performance (5+ second response times)
Difficult job market with low interview rates
Unpaid internship opportunities
Salary Ranges
0 data points
Junior/L3
L3
L4
L5
L6
Senior/L5
Staff/L6
Director
Junior/L3 · Associate Product Manager
0 reports
$137,500
total / year
Base
-
Stock
-
Bonus
-
$116,875
$158,125
Interview Experience
10 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 80%
Negative 20%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview
4
Final Round/Onsite
5
Offer Decision
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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