Skills Required
- Strong understanding of SDLC lifecycle and past experience of implementing automation solutions in areas like DevOps, Infrastructure automation, IP operations automation, robotic automation, cognitive computing, etc
- Expertise in architecting and designing automation solutions along with standards/guidelines
- Possess technical knowledge in following (two or more) areas - Artificial Intelligence / Machine Learning / NLP, RPA, DevOps, Infrastructure automation, IT Operations, Service Desk, Analytics, etc
- Expertise or knowledge in one or more of the following tools in each category -
Configuration Management and ARA: Chef, Puppet, Ansible, CA Release Automation, CA Agile Designer, XL Deploy, Jenkins, TFS, Octopus Deploy, etc
Cloud hosting solutions: AWS, Azure, Google Cloud, etc
IT operations and Service Desk: ServiceNow, AppDynamics, Dynatrace, Splunk, Nagios, Zabbix, Vistara, etc
RPA: UIPath, Automation Anywhere, BlurPrism, WorkFusion, Sikuli, etc
AI based tools for automation using Machine Learning, NLI, NLP, etc
- Provide technical leadership and guidance to team
- Possess strong communication and presentation skills
Optional Skills (good to have):
- Prior consulting, advisory, or professional services experience on automation
- Past experience of working in enterprise automation solutions or platform or frameworks
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