The MongoDB Cloud Services Team is a diverse collection of individuals working together to help our users run MongoDB in the Cloud at global scale. The Cloud Team is responsible for MongoDB Atlas - our database as a service offering and fastest growing product. MongoDB Atlas allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes.
The MongoDB Cloud Services Team is a diverse group, working together to enable our customers to use MongoDB in the Cloud at global scale. Developer Productivity supports our fastest-growing product, Atlas, enabling developers to do exciting, challenging feature development with optimized tools, and a fast feedback cycle.
We are seeking a Senior Software Engineer to work on developer productivity initiatives across all our Cloud teams and codebases. This role would be involved immediate tasks such as improving our multi-machine test framework, conducting a build-tool bake-off to help determine if a switch is worthwhile and helping integrate some of our Go codebases into a new tool. Along the way, you’d be writing any scripts, web apps or slack bots that are needed to help our teams do a great job. We’re looking for someone who can reach out to other devs, learn what they need and bring a project from proposal to completion.
MongoDB | New York, NY | Lead Engineer | On-site | Full-Time
We are looking to a hire a either a Lead Software Engineer or Senior Staff to work on our newest "Backend as a Service" offering, Stitch. This service is very similar to other large BaaS vendors but Stitch uses rule based access to third party services rather then locking you in to a specific ecosystem.
We are looking for someone that can really focus on scaling Stitch (getting change feeds to scale across all usages), and build features around realtime database access as well as functionality to enable users to work on MongoDB natively from mobile platforms.
We are looking for a senior software engineer to build new functionality around our cloud backup service. This team builds algorithms that deal with efficient data transfer, processing, and storage, in addition to managing a large hybrid cloud deployment with petabytes of data. Additionally, you would be involved in working on features which allow users to query backup data without doing a full restore, storage in globally distributed multi-cloud locations, and optimizations to improve snapshot and restore performance in on-premises and cloud environments.
MongoDB | Senior Software Engineer | 140-200k w/ equity | New York
We are looking for an exceptional Senior Software Engineer to help us build and iterate on our BI Connector platform. This role would be focused on working on language translation, optimization problems, execution algorithm tuning, and integrating this platform with other tools in our ecosystem. Additionally, this role would also likely contribute to adding new features to our query optimization framework.
C++ and Golang are tools we use often for this. If you don't have experience in Go, we'll teach you it on the job.
MongoDB | Senior Software Engineer | 125-200k w/ equity | New York
We are looking for an exceptional Senior Software Engineer to help us build and iterate on our BI Connector platform. This role would be focused on working on language translation, optimization problems, execution algorithm tuning, and integrating this platform with other tools in our ecosystem. Additionally, this role would also likely contribute to adding new features to our query optimization framework.
C++ and Golang are tools we use often for this. If you don't have experience in Go, we'll teach you it on the job.
We are looking for an exceptional Software Engineer that can help us build new features on our Cloud Manager application. This role has a focus on server side development (core java) as well running a large deployment (AWS). We also use (Go) for software installed on our client servers, but we can teach you that on the job if you have never used it before.
The MongoDB Cloud Services Team is a diverse collection of individuals working together to help our users run MongoDB in the Cloud at global scale. The Cloud Team is responsible for MongoDB Atlas - our database as a service offering and fastest growing product. MongoDB Atlas allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes.
Stack: Java, Go, Javascript, AWS
Apply Direct: https://grnh.se/49d1da0a1