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Job Location | Bangalore |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | General / Other Software |
EmploymentType | Full-time |
DevOps Engineer for HPE InfoSightInfoSight is HPE Storage s powerful big data analytics based monitoring and troubleshooting solution hosted in the cloud. It collects about 70 million pieces of information from each Storage array as well as from vSphere deployments, every day. It analyzes such data across the entire install base to show the customer (and resellers) deep insights in very simple and intuitive visuals. It has been recognized by customers and the analyst community as one of the core differentiators for HPE Storage. As impressive as they are, InfoSight s current capabilities are only the beginning the possibilities for analytics based monitoring and management are endless and so is the infrastructure that keeps this running like a well-oiled machine.That s where you come in. If you consider DevOps more of a culture and approach than a specific job title, are you passionate about automation, measurement, monitoring, security, frequent production releases, and building tools to automate all of the above Are you all about ensuring that there are no manual or mundane tasks done by humans Can you imagine doing things at scale, yet be part of every stage leading up to large-scale compute and storage ResponsibilitiesAs a DevOps engineer, you will be responsible for the development of tools that allows InfoSight application engineers to focus just on coding/developing the application while everything else happens automatically in the background, including continuous integration, continuous deployment to staging, rules based promotion to dev, stage, alpha, beta and production environment. You will build, scale, automate and maintain a number of infrastructure projects including but not limited to - monitoring and alerting, automated deployments (cloud and on premise), software defined networking, resilient storage, automated containerization using Docker and Lagom, Container management using Kubernetes, Mesos, DCOS and virtualization, Catastrophic system failure recovery, high availability etc.You will have the freedom to explore and visualize the overall framework that allows engineers to execute their tasks (e.g. the ability to execute a single command to bring-up/down/upgrade micro-services hosted on docker containers, manage multiple docker instances, and upgrade a library, OS etc.).In addition, you will:
Keyskills :
software defined networkingbig dataweb application developmentdata analyticslinuxdetail designinstall baseshell scriptingcomputer scienceweb applicationautomationmavenbig data analyticsjenkinsgit