MongoDB

MongoDB

Staff Engineer, Query Optimization

United States · Staff+

Sponsorship not specified$151k-$297kDetected 1 day ago
C++Distributed SystemsData StructuresAlgorithmsCode ReviewMongoDBAWSGCPResearchLeadershipMentoringPublic Speaking

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 29 green-card filings in this occupation, 97% were for a worker who already held the job.

Green-card intent detected

MONGODB, INC. obtained a prevailing wage determination for Software Developers in San Francisco, CALIFORNIA on 2026-06-29. No matching green-card filing appears in our data yet. The determination expires in 21 days (2026-09-26), and a green-card filing must follow before then or the employer starts over.

Green-card follow-through: 59%

Of 17 labor certifications old enough to have been used, 7 expired without the employer filing the next step. Median time from filing to decision: 495 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

16 transfer filings in the last year, covering 16 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Our team plays a crucial role in the experience and performance of data processing.
  • We have a presence across the US and Europe including New York, Dublin, Seattle, Palo Alto, and Chicago.
  • We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads.

Responsibilities

  • You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system
  • Help us build a world-class query optimization system
  • Research state-of-the art query systems to inform our design
  • 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

Requirements

  • 10+ 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.

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:

Benefits

  • While direct experience in query optimization is a massive bonus, it is not a prerequisite.
  • Innovate in the area of flexible schema databases.
  • Leverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and direction

Company info

  • We are responsible for the MongoDB Query Language and the lifecycle of each query, through parsing, optimization and plan selection.
  • 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.
  • 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.
  • We are also excited to meet candidates with strong backgrounds in compilers, language transpilers, or distributed storage systems
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This listing is sourced directly from MongoDB's careers page and normalized into a canonical job model.