Associate Technical Services Engineer II
MongoDB
CA$82,000 - CA$130,000 / year
Need a reasonable accommodation to apply or interview? Contact us.
JobMinglr uses automated technology to recommend jobs based on profile information and job preferences. Match Score does not determine eligibility for a position, prevent a user from viewing or applying to a job, or make hiring decisions on behalf of an employer.
Description
MongoDB Technical Services Engineers combine technical expertise, structured problem solving, and exceptional customer service to help customers build and operate reliable MongoDB applications and deployments.
The team supports the MongoDB ecosystem—including the database server, drivers, Atlas, Cloud Manager, Compass, and related services. Engineers work directly with customers to understand complex technical challenges, identify root causes, and provide practical solutions for largescale, data intensive environments.
We are looking for highly technical, insatiably curious, and adaptable engineers who enjoy understanding how systems are designed, deployed, and operated. Success in this role requires sound judgment, clear communication, initiative, collaboration, and a genuine desire to help others.
Location and working model
This role is based in Toronto and follows a hybrid working model, with a minimum expectation of three days per week in the office.
Office location: 333 Bay St., Suite 1400, Toronto, ON M5H 2R2, Canada
Cool things you’ll do
You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics.
What you need
We consider all candidates with an eye for those who are self-taught, insatiably curious, and multi-faceted.
The ideal candidates should have strong technical experience in one (or more) of the following areas
- Systems administration
- Distributed systems
- Network Administration
- Database architecture and administration
- Application Architecture
- Data architecture and design
- Performance tuning and benchmarking
- Extra bonus points if you have experience in one or more of Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, PHP, or Perl
If you have an operations background, we prefer experience administering large-scale production environments, including hardware, operating systems (e.g. Linux, Windows), networks (including firewalls and load balancers), as well as cloud-based resources (e.g. AWS, Azure, Google Cloud Platform).
It’s crucial for every candidate that they can check off all of these boxes
- Excellent communication skills, both written and verbal
- Genuine desire to help people
- Uncontrollable urge to investigate and solve problems, with advanced diagnostic and troubleshooting skills
- Ability to think on your feet, remain calm under pressure and solve problems in real-time
- Desire and ability to rapidly learn a wide variety of new technical skills
- Strong teamwork: willingness and ability to get help from team members when required, and the good judgment to know when to seek help
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: 3273563161
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.
Benefits
- $130,000 CAD
About this role
MongoDB's Technical Services team works directly with enterprise customers to solve complex database and infrastructure challenges across the MongoDB ecosystem. In this role, you'd be the technical expert customers turn to when architecting deployments, troubleshooting performance issues, or designing systems for scale. You'd combine hands-on problem-solving with advocacy—feeding customer needs back to MongoDB's product and engineering teams while also contributing to internal tools for diagnostics and benchmarking.
The ideal candidate has deep technical grounding in systems administration, distributed systems, database architecture, or cloud operations, ideally with experience running large production environments on Linux, Windows, or major cloud platforms. You'll need strong diagnostic instincts, the ability to stay calm and think clearly under pressure, and genuine curiosity about how systems work. Programming experience in languages like Java, Python, Go, or Node.js is a bonus. Above all, this role demands excellent communication, a real desire to help people solve problems, and the judgment to know when to collaborate with teammates.
Based in Toronto with a hybrid schedule (three days per week in office), this is a full-time position offering $94,000–$130,000 CAD plus equity, parental leave, RRSP matching, and standard benefits.
How this employer is doing
solid
- News: Recently Raised Funding
- H1B: Active Visa Sponsor
- Hiring Mentioned
- New Product/Innovation
This role's local market on JobMinglr
Pay for this role
$82,000 to $130,000 per year
That is the employer's posted range, and where you land in it is usually decided in one conversation. Before that conversation, run the numbers: analyze an offer for this role.
Before you apply, worth reading
How JobMinglr reads this job
Every listing here is scored against your profile before you apply: skills overlap, experience level, location and work arrangement, each weighted and explained. You see the score and the reasons, not just a list. How the matching works.