MongoDB

MongoDB

Staff Engineer, Atlas Agent Engine

New York City · Staff+

Sponsorship not specified$15k-$20kDetected 4 days ago
PythonJavaGoDistributed SystemsCode ReviewMongoDBAWSGCPKubernetesLeadershipCommunicationCollaboration

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70

Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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 follow-through: 67%

Of 21 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

  • You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product.
  • Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win.
  • Learn more about what it's like to work at MongoDB, and help us make an impact on the world!

Responsibilities

  • Work closely with product management, product engineering, product design peers as well as other teams within the company to define the first version and future evolution of the service
  • Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
  • Enable teams to deliver great products through leadership and technical contributions

Requirements

  • Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
  • Experience leading 15-20 people projects involving distributed systems infrastructure from conception to successful delivery.
  • Strong background in building core components for high scale compute and data distributed systems
  • 8+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java
  • Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
  • Good verbal and written technical communication skills, desire to collaborate with colleagues
  • Bonus points for experience with containerization and orchestration platforms (e.g. Kubernetes) and AI frameworks and tools
  • Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
  • Eager to learn, with a strong technical background

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

  • We're looking to speak with candidates based in the New York City area for our hybrid or in-office working models.
  • With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we're powering the next era of software.
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This listing is sourced directly from MongoDB's careers page and normalized into a canonical job model.