Qubole, the leading cloud-agnostic, big data-as-a-service provider, is passionate about making data-driven insights easily accessible to anyone. Qubole delivers the industry’s first autonomous data platform. The cloud-based data platform, Qubole Data Service (QDS), removes the burden of maintaining infrastructure of multiple big data processing engines, and enables customers to focus on their data. Qubole customers process nearly an exabyte of data every month. Qubole investors include Charles River, Institutional Venture Partners, Lightspeed, Norwest, Harmony and Singtel Innov8.
We are looking for strong engineers across the experience spectrum to be part of the team building the backbone of Qubole’s big data offerings. You will design and build large distributed systems that work reliably and with no-fuss on all the public clouds (AWS, GCE, Azure). The work of this team cuts across boundaries and frequently requires working across different layers of the Qubole stack. It offers a unique opportunity to make significant business impact by adding new fundamental capabilities to the infrastructure components that everything else relies on.
What you'll be doing
You will design and build large distributed systems that work reliably and with no-fuss on all the public clouds (AWS, GCE, Azure).
Work with product managers and customers to understand requirements
Have experience in networking, storage, operating systems or large scale distributed systems
Write strong production quality code
Talk about your work in blogs and conferences
Required experiences and skills
Strong track record of building complex, highly scalable production systems on the cloud and/or deep in the guts of file systems, operating systems, database back-ends.
Extensive development experience with any of Java, Python, C++
Familiarity with cloud platforms is required
Ideal candidate will have deep understanding of cloud environments and hands-on experience building solutions on a public cloud such as, AWS, GCE, Azure, Open Stack