← All jobs · MongoDB

SDET Engineer, Query

MongoDB ·
41
AI-Agency
B35 U50
📍 Dublin, IE 🌐 Remote/hybrid Mid 3+ yrs
MongoDBNoSQLrelational databasesquery enginesperformance testing
TL;DR

SDET Engineer at MongoDB building test automation and frameworks for the MongoDB Query Engine. Focus on correctness and performance testing of distributed query systems, database engines, and multi-tiered backend systems.

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

Job description

The MongoDB Query Team is hiring Software Engineers who want to join us in building a state-of-the-art distributed query system. We are responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection; our engineers work on maintaining and improving our optimization and execution frameworks and building new query language features to help power our customers' critical workloads. Throughout all our work, our highest priority is always ensuring that customer queries are answered correctly. The successful applicant will be responsible for helping us to maintain the highest standards of quality through rigorous testing and automation strategies.

This role can be based out of our Dublin office, or remotely in the Ireland region.

Candidate Profile

Position Expectations

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 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: 4263348170

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