The client is an Inc. is an American multinational information technology infrastructure services provider that designs, builds, manages and develops large-scale information systems.
Turbonomics
Act as a deep solution and technical subject matter expert for Application Resource Management / Application Performance Management / Observability opportunities and leverage experience to make engagements successful
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Work with prospects and customers to prove the value of the Turbonomic solution and it’s relation to the AIOPS set of technologies
Actively participate in development and progression of qualified opportunities for Turbonomic /APM/Observability .
Demonstrate the Turbonomic offering at customer sites, remotely for customers, and at field events
Drive effective Proofs of Concept with customers that showcase how IBM Turbonomic adds value to the clients' business
Enable, support and work with the IBM Business Partner ecosystem.
Collaborate with other internal IBM teams to drive unmatched customer satisfaction.
Maintain an understanding of the client’s industry, including industry trends, industry business processes.
Collaborate with domains teams to define, design, and detail the technical aspects and feasibility of proposed solutions.
Support customer technical escalations, health checks, best practice sharing, designing solutions; and answer technical questions
Technical Expertise:
IT Operations and Site Reliability Engineering (SRE)
Knowledge of the role of traditional IT Operations (ITOps) Engineers, tools they are typically using and pain points they are facing
Understanding of how a Site Reliability Engineer (SRE) approaches Operations to ensure that continuously delivered applications run efficiently and reliably by using software engineering and automation solutions.
Ability to assess where the client is on the journey from traditional IT Operations to SRE, and able to articulate and demonstrate the value of Turbonomic to help them with the transition.
Knowledge of DevSecOps concepts
Kubernetes Expertise:
Knowledge of building and operating clusters effectively on a Kubernetes platform
Understanding of the underlying open source and concepts around Storage, Networking, Security, Trouble Shooting, Management
Cloud Platform knowledge and in one of the following: Microsoft Azure, Google Cloud Platform/Anthos, Amazon/AWS, IBM Public Cloud
Understanding of containers and microservices application architecture.
Strong Linux Skills
