StraaS's infrastructure powers OTT solutions (streaming, messaging and advertising technology with best multi-screen and multi-device user experiences) for businesses all over the world. We help businesses integrate OTT solution into their products, build world-class developer-friendly APIs, SDKs, and more. If you're an infrastructure engineer here, you'll get to build the systems that power our products.
￭Design, build, and maintain the core infrastructure used by all of StraaS's engineering team
￭Debug production issues across services and levels of the stack
￭Build a great customer experience for people using your infrastructure
You may be a fit for this role if you
￭ Are familiar with Go
￭ Know your way around a Unix system
￭ Are familiar with cloud platform (e.g. GCP, AWS, Azure, etc...)
￭ Be familiar with container technology and relating CI/CD experiences based on it (eg. Docker, Kubernetes, etc...)
￭ Have experience in DevOps
Projects you could work on:
We have a ton of important work to do, which is why we're hiring! Our projects are of course changing all the time, but here are a few projects that we're working on, so you can get an idea of the types of work we do. Technologies we use include: nginx, jenkins, docker, kubernetes, etcd, mysql, elasticsearch, influxdb, redis, mongodb, fluentd and others.
￭ Plan and implement multi-region availability for our messaging infrastructure! All of our systems can sustain losing machines, and making our systems even more resistant to failure is a big theme for us. If you like thinking about distributed systems, you might find a good home here!
￭ Distributed tracing! To make it easier for any StraaS engineer, when debugging, to trace a request from its source down to every service it touched.
￭ We have a bunch of projects around deploying and running code: help us instantly roll back bad deploys so that we can recover quickly, and build infrastructure that lets us scale up our API workers in seconds in response to high API load.
￭ Maintain and improve the in-house cloud resources scheduler to fulfill specific scaling policies which the cloud platform doesn't provide.
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