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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
Location & work details
Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.
- Original location
- New York City
- Stack
- - 8+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java (Source language/tool mention)
- Stack
- - 8+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java (Source language/tool mention)
- Stack
- - 8+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java (Source language/tool mention)
- Stack
- - Bonus points for experience with containerization and orchestration platforms (e.g. Kubernetes) and AI frameworks and tools (Source language/tool mention)
- Stack
- MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. (Source language/tool mention)
- Stack
- performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engi (GTM description)
- Normalization
- Explicit source location text; no city-only country inference.
Employer posting
Staff Engineer, Atlas Agent EngineSource details
Company identifier: MongoDB
Source ID: greenhouse:mongodb:8173735
Board: greenhouse:mongodb
Evidence field: description
Match rule: alternative_in_list
Go matches in source: 2
Department as supplied: Magenta
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