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Azure Cosmos DB (Microsoft) | Engineering + Product Management + Marketing | Seattle, WA | Onsite Only | Full-Time | https://www.joincosmosdb.com/

Azure Cosmos DB is a globally distributed, multi-model database-as-a-service featuring:

• Turnkey Global Distribution - automatically replicate data to any number of regions worldwide to achieve high availability and low-latency for global user base at the click of a button... complete with tunable well-defined consistency semantics.

• Multi-model - use key-value, graph, column, and document data in one service, at global scale and without worrying about schema or index management.

• Elastic Scale - elastically and transparently scale-out storage and throughput to seamlessly scale from 100's of requests per second to 100,000,000's of requests per second over a petabyte of data.

• Guaranteed low latency - write-optimized, latch-free database engine that guarantees <10ms @ P99 for single-document reads and <15ms @ P99 single-document writes.

• Fully-Managed w/ comprehensive SLAs - complete with 99.99% Availability SLA along with extra guarantees on throughput, latency, and consistency.

Our team is consistently amongst the fastest growing foundational services in the Microsoft Azure platform; and has ambitious plans to go much further in the coming years. You can find a brief recap of our 2017 accomplishments here: https://azure.microsoft.com/en-us/blog/azure-cosmosdb-recap-...

We are hiring across the board: software engineers, program managers (aka product managers), and product marketing managers. We’re looking for folks with a strong technical background balanced with great customer empathy, excellent communication skills, and the scrappiness + tenacity to get shit done.

For more information, get in touch with us by sending in a cover letter (describe your interests and why cosmos db?) along with a resume at joincosmosdb [at] microsoft [dot] com.


Microsoft (Azure Cosmos DB team) | Engineering + Product Management + Marketing | Seattle, WA | Onsite | Full-Time

Azure Cosmos DB is a globally distributed, multi-model database-as-a-service featuring:

• Turnkey Global Distribution - automatically replicate data to any number of regions worldwide to achieve high availability and low-latency for global user base at the click of a button... complete with tunable well-defined consistency semantics.

• Multi-model - use key-value, graph, column, and document data in one service, at global scale and without worrying about schema or index management.

• Elastic Scale - elastically and transparently scale-out storage and throughput to seamlessly scale from 100's of requests per second to 100,000,000's of requests per second over a petabyte of data.

• Guaranteed low latency - write-optimized, latch-free database engine that guarantees <10ms @ P99 for single-document reads and <15ms @ P99 single-document writes.

• Fully-Managed w/ comprehensive SLAs - complete with 99.99% Availability SLA along with extra guarantees on throughput, latency, and consistency.

Our team is consistently amongst the fastest growing foundational services in the Microsoft Azure platform; and has ambitious plans to go much further in the coming years. You can find a brief recap of our 2017 accomplishments here: https://azure.microsoft.com/en-us/blog/azure-cosmosdb-recap-...

We are hiring across the board: software engineers, program managers (aka product managers), and product marketing managers. We’re looking for folks with a strong technical background balanced with great customer empathy, excellent communication skills, and the scrappiness + tenacity to get shit done.

For more information, please get in touch with me and/or send me your resume at andrl [at] microsoft [dot] com.


An interesting thing to point out is the current beta for Cloud Spanner does not have multi-region deployments... and instead, allows you to do single-region deployment in your choice of 3 (not >30) regions:

https://cloud.google.com/spanner/docs/instance-configuration


CAP only talks about the uncommon unhappy path (given a network partition, what is tradeoff between availability and consistency). PACELC theorem builds on CAP to describe that even in the absence of a network partition, there is a trade-off between latency and consistency (in other words, describing the tradeoffs associated with BOTH the common happy path and uncommon unhappy path).

Azure Cosmos DB offers 5 well-defined consistency models for you to choose from, so that you can choose the right tradeoffs for a given application or scenario. This way, you aren't stuck choosing between the hard extremes of Strong and Eventual consistency.

See: https://docs.microsoft.com/en-us/azure/documentdb/documentdb...


Join the best little startup at Microsoft.

The Azure DocumentDB team is hiring - http://jobs.documentdb.com/

Building NoSQL awesomeness; located in Redmond, WA (near Seattle).

=== What is DocumentDB? ===

Azure DocumentDB is Microsoft’s multi-tenant distributed database service, purpose-built for managing JSON documents at the Internet scale. Inside Microsoft, several large applications have been using DocumentDB in production.

=== Who are we? ===

We are a small and nimble team of systems engineers inside the Azure Data Platform Group (DPG) which builds services like SQL Azure and HDInsight. Joining our team is a fantastic opportunity to work with some of the best systems engineers in the industry who are tackling challenges that will continue to shape the industry.

We believe that building a novel database from ground up is a once in a lifetime opportunity. This is a ground floor opportunity to build a large scale distributed storage system. The team culture values results, operating with a sense of urgency, engineering quality, technical excellence, and grassroots innovation.

=== Contact Us ===

Send us an email at: askdocdb {at} microsoft.com


Product team member here - happy to answer any questions you have :D


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