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Software Engineer 3, Search Systems Replication & Routing

MongoDB, Inc. - San Francisco

Posted Sep 10, 2025

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified not verified - source URL not recorded; timestamp not recorded
Family-building benefits
  • Fertility benefits: Offered From the posting source checked Jun 20, 2026
  • Adoption assistance: Not verified
  • Surrogacy assistance: Offered From the posting source checked Jun 20, 2026
Mental health support
Offered From the posting source checked Jun 20, 2026
Relocation assistance
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Childcare support
Offered From the posting source checked Jun 20, 2026
Learning budget
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Verification
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Salary
$106K-$209K From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

35% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer 3, Search Systems Replication & Routing San Francisco Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language . Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building the cloud-based distributed systems software responsible for the lifecycle of search indexes including: data ingestion, index building, partitioning, performance, availability, and backup management. Our product is quickly gaining traction with customers and we are making core architectural improvements that you will contribute to. This role is based in San Francisco, CA with an in-office or hybrid work model. Successful candidates will have the following qualities: - 2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase - Experience developing distributed systems and multithreaded applications - Experience with at least one modern statically typed programming language, and interest in working with Java - Excellent verbal and written technical communication skills and enthusiasm for collaborating closely with colleagues - A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback - A strong sense of ownership over their work, from initial design all the way through maintaining code in production You will: - Contribute to the design, implementation, and support of projects that improve the scalability of Atlas Search to make using it a seamless experience for even

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