MongoDB

MongoDB

Software Engineer 3, Query Integration

Austin; New York; New York City; San Francisco; United States

Sponsorship not specified$106k-$209kDetected 22 hours ago
JavaScriptPythonC++Data StructuresAlgorithmsCode ReviewMongoDBAWSGCPLeadership

About the role

  • The Query Integration team is at the heart of making MongoDB's data capabilities seamless and accessible.
  • We work on cutting-edge features that power our time-series database, extend analytical language capabilities, and scale our high-growth Atlas Search and Vector Search products.
  • While our core engine development is in C++, our testing infrastructure relies on JavaScript and Python, making for a dynamic and modern development environment.

Responsibilities

  • Develop and scale new query capabilities that directly impact our time-series, Atlas Search, and Vector Search products while adding workload telemetry for greater database insights.
  • Work constructively with peers to design, implement, and support robust technical solutions while giving and receiving meaningful feedback in code reviews.
  • Build comprehensive testing suites in Python/JavaScript and implement diagnostics to help identify and resolve complex query performance problems.
  • Hands-on experience building industrial-strength software
  • Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
  • In twelve months, you're contributing to the design of major new features and are helping to mentor new engineers on the team
  • To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone.

Requirements

  • 3+ years of experience in computer programming
  • Experience with large code bases, preferably in C++

Nice to have

  • Interest in the theory and practice of database query engines.
  • Hands-on experience or M.Sc./Ph.D in the domain is a plus

Compensation

  • Salary is one part of MongoDB's total compensation and benefits package.
  • Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
  • MongoDB's base salary range for this role in the U.S. is:

Company info

  • At MongoDB, we are empowering innovators to create, transform, and disrupt industries by unleashing the power of data.
  • The Query Integration team is at the heart of making MongoDB's data capabilities seamless and accessible. Our mission is to build intuitive, user-facing features on top of our core query engine and integrate it deeply with the broader MongoDB ecosystem. We work on cutting-edge features that power our time-series database, extend analytical language capabilities, and scale our high-growth Atlas Search and Vector Search products.
  • We are a highly collaborative team that values engineering excellence and continuous learning. While our core engine development is in C++, our testing infrastructure relies on JavaScript and Python, making for a dynamic and modern development environment.
  • This role can be based out of our US or Canadian offices, or remotely within the North American region.
  • Our mission is to build intuitive, user-facing features on top of our core query engine and integrate it deeply with the broader MongoDB ecosystem.
  • We are a highly collaborative team that values engineering excellence and continuous learning.
  • We welcome diverse perspectives and recognize that great engineers come from a variety of backgrounds. If you share our passion for database internals and match most of these points, we want to hear from you:
  • We welcome diverse perspectives and recognize that great engineers come from a variety of backgrounds.
  • 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.
  • 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.
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This listing is sourced directly from MongoDB's careers page and normalized into a canonical job model.