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MongoDB

Senior Software Engineer, Query Optimization

MongoDB is hiring a Senior Software Engineer, Query Optimization for a remote role open to applicants in United States. It pays $101k-$273k a year and Level rates it ; you can apply on MongoDB.

Level's read on this job

  • Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include C, query optimization and distributed systems.
  • Level classifies it as a senior role.
  • Level lists 367 other open roles at MongoDB.

AI in this role

Builds and optimizes distributed database query engines and execution systems as a senior software engineer.

C
query-optimizationdistributed-systemsdatabase-internalssoftware-engineering

Join the MongoDB Server Query Optimization team, and help us build a world-class distributed open-source query optimizer. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, through parsing, optimization and plan selection.

We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, 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.

This role can be based remotely in the U.S. or Canada, limited to Eastern or Central time zones only.

Candidate Profile

  • 5+ years of experience in data management systems, distributed systems, or large-scale backend engineering
  • 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
  • A strong foundation in core database internals is essential. While direct experience in query optimization is a massive bonus, it is not a prerequisite. We are also excited to meet candidates with strong backgrounds in compilers, language transpilers, or distributed storage systems

Position Expectations

  • Innovate in the area of flexible schema databases. Help us build a world-class query optimization system
  • 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
  • Set initiative level strategy, architect plans, and lead the team towards successful execution
  • Advise and partner with management on roadmap decisions, processes, and architectural designs
  • Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics, and integration with other products and tools
  • Work with other engineers to coordinate seamless changes in a feature-rich, large code base
  • Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes or contribute to their projects
  • Influence and grow team members through active mentoring, coaching and leading by example

Success Measures

  • 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 MongoDB'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 have contributed to the long-term technical roadmap of the MongoDB Query team

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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req. ID: 1273425622

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, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. 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:$101,000—$273,000 USD

How we rate this

Senior Software Engineer, Query Optimization at MongoDB rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Query OptimizationDistributed SystemsDatabase InternalsSoftware EngineeringC

Also common in software engineer jobs at this level

Pay

This job starts at
$101k
Typical software engineer job
$167k

This posting starts 40% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where query optimization was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where database internals was part of your work. What did you do?
  4. Tell me about a project where software engineering was part of your work. What did you do?
  5. Walk me through how you've used C in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Query Optimization, Distributed Systems, Database Internals, Software Engineering, and C. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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