Software Engineer, Query

Mongo

DB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, Mongo

DB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use Mongo

DB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust Mongo

DB to build next-generation, AI-powered applications.

Join the Mongo

DB Server Query Integration team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the experience and performance of data processing. We are responsible for building user-facing features on top of the core query engine and helping to integrate query with other products in the Mongo

DB ecosystem. This includes enhancing our time-series product, extending language support for analytics, helping grow our Atlas Search and Vector Search products with database support and adding workload telemetry to provide greater insight into how our database is used.

We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, lexical and vector search and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database.

We are looking to speak to candidates who are based in the United States or Canada for our hybrid working model.

• 10+ years of experience in data management systems
• Experience with building production-level code with a large user base, robust design structure and rigorous code quality
• Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
• Experience with large code bases written in C++ or another systems programming language. You ll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system
• Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain

• Be directly responsible for delivering on goals which span a 6-18 month timeframe
• Play a key role in defining the roadmap for the next 12 months
• Write well tested, production-ready code in C++ (our test infrastructure also leverages Python and Java script)
• Research state-of-the art query systems to inform our design
• Leverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and direction
• Advise management on decisions related to roadmap, processes, architecture and design
• Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
• Influence and grow team members through active mentoring, coaching and leading by example
• Help cultivate a strong talent bench through interviewing, mentoring and knowledge sharing

• In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series;
  You ll have learned about Mongo
  
  DB's project lifecycle, and our long-term goals for the system
• In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features;
  You have expanded the team's horizons by presenting a favorite paper or system architecture related to query systems
• In twelve months, on the basis of your extensive past experience in the query space, you…