← All jobs · MongoDB

Technical Services Engineer

MongoDB ·
28
AI-Agency
B25 U35
📍 Vancouver, CA 🌐 Remote/hybrid Mid
MongoDBLinuxJavaPythonRubyCC++C#JavaScriptGoAWSAzure
TL;DR

Technical Services Engineer at MongoDB providing customer support and solving complex database issues. Role involves advising customers on MongoDB architecture, performance, and infrastructure across the entire ecosystem.

Apply at MongoDB →
you'll be redirected to the company's career page

Job description

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers.

We are looking to speak to candidates who are based in Vancouver for our hybrid working model.

Cool things you’ll do

MongoDB is on a mission to change the way people think about databases. Along the way, our customers and partners encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.

You'll be working alongside our largest customers and partners, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between.

You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' and partners’ needs - working with our product management and development teams on their behalf. 

You'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. Externally, you will work with many of MongoDB's top ISV partners and ensure excellence for our joint customers. 

In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem.

What you need

We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted.

It’s important for candidates to check off these boxes:

Bonus Points

Success Measures

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: 4263346828

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:
$115,000$160,000 CAD
Apply at MongoDB →

More open roles at MongoDB

MongoDB ·
Staff Research Scientist, Voyage AI
📍 Palo Alto, US 🌐 Remote 💰 $137K–$270K · Staff
Staff Research Scientist at MongoDB's Voyage AI team building embedding models and rerankers for semantic search and RAG. Conduct cutting-edge research on language models and information retrieval, collaborating with researchers from top institutions.
LLMsembedding modelsrerankersneural networksNLP
83
AI-core
MongoDB ·
Senior Research Scientist
📍 Sydney, AU 🌐 Remote · Senior
Senior Research Scientist at MongoDB conducting cutting-edge ML research in code-oriented LLMs, agentic systems, reinforcement learning, and reasoning models. Focus on publishing in top-tier venues and translating research into commercial database products.
PyTorchTensorFlowJAXReinforcement Learning
81
AI-core
MongoDB ·
Senior Research Scientist, Voyage AI
📍 Palo Alto, US 💰 $118K–$231K · Senior
Senior Research Scientist at MongoDB's Voyage AI team building embedding models and rerankers for semantic search and RAG. Focus on cutting-edge research in LLMs, information retrieval, and distributed neural network training.
LLMsembedding modelsrerankersneural networksNLP
81
AI-core
MongoDB ·
Senior Staff Engineer, AMP
📍 CA 🌐 Remote 🛠 AI tools welcome at work · Staff
Senior Staff Engineer leading MongoDB's Application Modernization Platform (AMP) team. Responsible for technical strategy, architecture, and team leadership on a GenAI-powered platform that transforms legacy applications into modern microservices architectures.
MongoDBGenAImicroservicesdistributed systems
79
AI-core
MongoDB ·
Staff Engineer, Code Generation
📍 US 🛠 AI tools welcome at work · Staff
Staff Engineer at MongoDB building AI-powered code transformation tools that modernize legacy applications into microservices architectures. Lead the Code Gen team in designing orchestration layers and integrating GenAI capabilities for automated code transformation and testing.
PythonPostgreSQLOracleMySQLSQL Server
77
AI-core