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Software, Database, Cloud Computing, Enterprise Software

Associate Technical Services Engineer II

Toronto, ONHybridFull TimeCA$94,000–CA$130,000 /yrPosted 28 days ago

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Required skills

  • technical expertise
  • structured problem solving
  • customer service
  • MongoDB
  • Atlas
  • Cloud Manager
  • Compass
  • architecture
  • performance
  • recovery

Nice to have

  • self-taught
  • insatiably curious
  • multi-faceted
  • Java
  • Python
  • Ruby

Role summary

MongoDB is seeking an Associate Technical Services Engineer II in Toronto, following a hybrid work model. This role involves supporting customers with complex technical challenges related to MongoDB deployments, architecture, performance, and security. The engineer will act as an expert resource on best practices and advocate for customer needs with product and development teams. Responsibilities include troubleshooting, problem-solving, and contributing to internal support tools. The ideal candidate possesses strong technical experience in systems administration, distributed systems, network administration, database architecture/administration, application architecture, data architecture, or performance tuning. Experience with programming languages like Java or Python and cloud platforms (AWS, Azure, GCP) is preferred. Excellent communication and diagnostic skills are crucial.

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.

    MongoDB’s base salary range for this role in Canada is:$94,000—$130,000 CAD

    Sample MongoDB interview questions

    • 1

      Design an API Gateway

      system designhard
    • 2

      Design Multi-player Figma

      system designmedium
    • 3

      Sort a String by Frequency Sort a string by the frequency of its characters. Input: s = "cccaaa" Output: "cccaaa" or "aaaccc" Explanation: Both 'c' and 'a' appear three times, so sorting them by descending frequency keeps them grouped equally.

      codingmedium

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