MongoDB

MongoDB

Staff Engineer, Search Systems

San Francisco · Staff+

Sponsorship not specified$151k-$297kDetected 2 days ago
JavaDistributed SystemsCode ReviewMongoDBAWSGCPLeadershipMentoring

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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

  • This is not a chance to influence a feature.
  • You understand the physical limits of the stack.

Responsibilities

  • It is a chance to shape the foundation of how developers everywhere build applications with MongoDB.
  • Own the cross-system data infrastructure layer for MongoDB's next-generation Search and Vector Search capabilities, carrying outcomes that span 6-18 months
  • Lead the architecture and evolution of the core mongot and Mongo Management Service infrastructure, making durability, consistency, and scale decisions with conviction
  • Drive complex, multi-team initiatives by building technical consensus, navigating ambiguity, and setting direction when there is no clean playbook
  • Serve as a trusted technical partner to leadership on roadmap, architecture, and engineering process, advising rather than just informing
  • Raise the technical ceiling of the team through mentoring, rigorous code review, and knowledge-sharing that creates leverage beyond your own output
  • You create leverage across teams.
  • You connect operational constraints to design decisions in concrete terms.

Requirements

  • 10+ years of experience in data management systems or related distributed infrastructure
  • Demonstrable experience designing and operating distributed systems, cloud services, or SaaS products at scale
  • The ability to reason about systems at the physical layer: data consistency, durability guarantees, concurrency, and failure modes in distributed environments
  • A track record of operating at Staff or Principal scope: defining technical direction, resolving cross-team ambiguity, and personally championing initiatives from conception to delivery
  • Experience designing or maintaining search platforms or distributed databases
  • Experience debugging and profiling multithreaded JVM applications and distributed systems
  • You can articulate why a system breaks at 100x load, reason about the risks of a dual-write migration strategy, and make data consistency and durability decisions with conviction
  • You know why fsync matters.
  • You know how atomic operations behave under contention.
  • You have built systems where these things were not hypothetical.

Nice to have

  • Deep proficiency in modern programming languages and techniques, with Java fluency preferred
  • Preferred (not required)

Skills

  • Our work sits at the intersection of distributed systems, databases, and search infrastructure.

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

  • Other benefits for eligible employees may include:

Company info

  • We are the team behind mongot, the indexing and query execution engine that powers Search and Vector Search across MongoDB Atlas and self-managed deployments.
  • We are looking to speak to candidates who are based in San Francisco, CA for our hybrid working model.
  • About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market.
  • What We're Looking For
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This listing is sourced directly from MongoDB's careers page and normalized into a canonical job model.