Software Engineer 3, Atlas Vector Search

MongoDB
Seattle
Workplace: HybridFull timeUSD 101,000 - 198,000 annuallyFunction: Software EngineeringExperience: 2+ yearsSkills: ["Problem-solving","Communication","Collaboration","Teamwork"]

Software Engineer 3 to build core systems and services powering model inference at scale for MongoDB Atlas. You’ll work on a multi-tenant inference platform, collaborate with ML researchers, and improve performance, autoscaling, and reliability in a cloud-native environment, with hands-on use of Kubernetes and ML-serving tools, across Palo Alto or Seattle in a flexible in-office/Hybrid model.

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FursaFursa
MongoDB
MongoDB
6 months ago

Software Engineer 3, Atlas Vector Search

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Software Engineer 3 to build core systems and services powering model inference at scale for MongoDB Atlas. You’ll work on a multi-tenant inference platform, collaborate with ML researchers, and improve performance, autoscaling, and reliability in a cloud-native environment, with hands-on use of Kubernetes and ML-serving tools, across Palo Alto or Seattle in a flexible in-office/Hybrid model.
Location: Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and build components of a multi-tenant inference platform integrated directly with Atlas, supporting semantic search and hybrid retrieval
  • •Collaborate with AI engineers and researchers to productionize inference for embedding models and rerankers for batch and real-time use cases
  • •Contribute to platform capabilities such as latency-aware routing, model versioning, health monitoring, and observability
  • •Improve performance, autoscaling, GPU utilization, and resource efficiency in a cloud-native environment
  • •Work across product, infrastructure, and ML teams to meet scale, reliability, and latency demands of Atlas users

Pay and Benefits

Salary: USD 101,000 - 198,000 annually
Equity and Bonus:Equity
Perks:Equity401kRemote WorkPaid LeaveParental LeaveHealth Insurance

Key Requirements

  • •2+ years of experience building backend or infrastructure systems at scale
  • •Strong software engineering skills in Go, Rust, Python, or C++, with an emphasis on performance and reliability
  • •Experienced in cloud-native architectures, distributed systems, and multi-tenant service design
  • •Familiar with concepts in ML model serving and inference runtimes
  • •Knowledge of vector search systems (e.g., Faiss, HNSW, ScaNN) is a plus
Experience:2+ yearsAIMLInferenceCloud-nativeDistributed systems
Skills:Problem-solvingCommunicationCollaborationTeamwork
Languages:En
Tech Stack:GoRustPythonC++KubernetesVLLMGPUFaissHNSWScaNN

Company Brief

MongoDB
Develops MongoDB, a leading general-purpose, document-based database platform that enables developers and enterprises to build scalable, high-performance applications with flexible data models and cloud-native capabilities.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2007
Glassdoor
Glassdoor: 4.1
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