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Big Data Platform - Cloud Engineer

Location: Bangalore, KA, India 
Req ID: JR-0000040525

Description

Big Data Platform Cloud Engineer

Location: Bangalore India
Req ID: JR-0000040525

Western Digital®
We deliver the possibilities of data.  YOU define what’s possible.

Requirements:

•Applies technical expertise to develop innovative solutions in cloud environments; on-premise cloud, hybrid cloud and public cloud.
•Roughly 70-80% hands-on coding.
•Utilizes understanding of DevOps and software engineering best practices to influence design and implementation approaches and solutions.
•Works in a cross-functional style to achieve results.
•Works closely with more senior level software engineers in software development and cloud development projects.
•Occasional travel may be necessary.
 
Qualifications:

•2-3+ years’ experience in professional software engineering, including agile development.
•Some experience developing distributed systems and cloud services that are scalable, reliable, secure, and supportable in AWS is preferred.
•Experience with developing REST/Web Services
•Linux experience a must.
•Experience with Docker (Apache Mesos/Marathon and Kubernetes experience is a plus) preferred.
•Experience in engineering practices such as design patterns, continuous integration, unit test, application security, and code reviews
•Experience developing telemetry, metrics, and usage analysis using monitoring and logging tools (like New Relic, Cloud Watch, Data Dog, ELK stack)
•Familiar with the challenges surrounding efficient operations and failure mode analysis in large complex distributed systems
•Experience with Java, Python and/or JavaScript (Node.js)
•Experience with configuration management tools (Ansible) is a plus

ABOUT WESTERN DIGITAL

Western Digital Corporation is the world’s largest data storage company with a leading portfolio of HGST, SanDisk, G-Technology and WD brands covering flash and disk-based solutions. Deployed by the largest and most prominent organizations worldwide, Western Digital solutions are everywhere, touching lives and enabling great value from the data they possess.