Staff Engineer (SF Office) at Nylas

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Nylas

(10 open jobs)

The Nylas APIs power applications with email, calendar, and contacts sync from any inbox in the world.ove


Job title
Staff Engineer (SF Office)
Job listing last updated at
May 20, 2019
Job listing location
San Francisco
Job listing source
lever
Job listing link
External link
Bay Area company location: 695 Minna St, San Francisco CA

Job description

At Nylas, our mission is to empower the world to communicate with context and insight. Our hosted sync platform and APIs enable developers to quickly integrate their apps with email, contacts, and calendar across all providers(including Exchange). We are changing the way companies and developers innovate with e-mail and messaging. Customers like Pipedrive, Hyundai, and Lever use our cloud messaging APIs to power their products and accelerate their ability to innovate.   Nylas has raised over $30M from Spark Capital, 8VC, Data Collective, Fuel Capital, SV Angel and more.  We have offices in San Francisco and New York, and several of us work remotely. Our HQ is in San Francisco and members have previously worked at Dropbox, Google, Facebook, Microsoft, Oracle, SAP, and VMware.  Want to know more? Check out our Key Values Page and Our Employee Handbook! Job Description The Nylas Cloud API makes it an order of magnitude easier for companies to add email, calendar, and contacts integrations to their applications. By being at the core of business communication, scheduling, and contacts, we believe we can shape the future of how people work. We’re looking for an experienced Staff Software Engineer to join our team in San Francisco or New York. This person will work directly with a broad team of engineers to architect, advise, mentor, and be hands on to grow the Nylas API and internal systems.  You’ll be responsible for the design, development, and operations of large-scale systems that power inbox sync for all of our customers. Right now, our open-source Python sync engine regularly archives terabytes of data across a massive SQL cluster, and our Flask APIs handle tens of millions of requests a day. We aim to scale that several times over in the next year. 

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