Senior Technical Services Engineer at MongoDB providing 24/7 support for MongoDB deployments and specializing in Atlas Search and Vector Search products. Role involves troubleshooting customer issues, developing internal support tools, and advising on database performance and search technologies.
The Technical Services team works with our customers to ensure that their MongoDB deployments are running at their best. From a query performance question on a test Atlas cluster to helping upgrade large self-hosted sharded clusters run by some of the world's best-known global enterprises, the Technical Services team is available 24/7 to help our customers with any aspect of the MongoDB data platform. This deeply technical team is distributed globally, with a variety of backgrounds and expertise to ensure that they can best address any new issue or question. In addition to solving these complex customer challenges, the team also works on internal projects such as software development of support tools for performance tuning, benchmarking, and diagnostics.
As MongoDB continues to expand product offerings and features within the MongoDB Atlas Data Platform, MongoDB is looking for a Senior Technical Services Engineer with a background in application search, as well as search-related technologies, who will also provide specialized support for our Atlas Search and Vector Search products
We are looking to speak to candidates who are based in Toronto for our hybrid working model.
As a Senior Technical Services Engineer, you’ll be advising customers on strategies and documented practices for making best use of our data platform. This will require you to translate technical concepts and patterns into generalist terms for our customers, helping them understand, install, and use those applications effectively. You’ll also troubleshoot application problems and be an advocate for our users’ needs, collaborating with the MongoDB product management and development teams on their behalf. As a Technical Expert in all-things-search, you will be advising MongoDB field teams on Atlas Search and Vector Search issues, and helping with technical enablement in those areas.
You will utilize your exceptional analytical skills and customer service to ensure that MongoDB users are successful with our suite of MongoDB application-layer products. We’re looking for individuals who want to dig into the details of how “big data” and “web-scale” systems are successfully assembled and operated every day by organizations of every size and flavor.
We consider all candidates with an eye for those who are self taught, curious, and multi-faceted. Our ideal associate candidate should also have:
The rapidly growing MongoDB product suite, including:
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 over 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: 2273452548
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.