
Overview
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+7
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About Us
CloudifyOps is a company with DevOps and Cloud in our DNA. CloudifyOps enables businesses to become more agile and innovative through a comprehensive portfolio of services that addresses hybrid IT transformation, Cloud transformation, and end-to-end DevOps Workflows.
We are a proud Advance Partner of Amazon Web Services and have deep expertise in Microsoft Azure and Google Cloud Platform solutions.
We are passionate about what we do. The novelty and the excitement of helping our customers accomplish their goals drives us to become excellent at what we do.
Job Description
What will you do :
2+ years of hands-on experience as a Cloud Engineer
Experience monitoring a 24/7 SaaS with I&P management proper understanding.
Basic Scripting experience to troubleshoot.
Deep understanding of manual data analysis, reporting.
Deep understanding of monitoring tools to troubleshoot and find root cause, experience with Datadog.
Good knowledge of at least one operating system: Linux, Unix, Solaris, Ubuntu, Windows. Preference is any LINUX flavored operating system (eg: Ubuntu or Red Hat)..
Basic understanding of networking: TCP/IP, IP addresses, HTTP, DNS, VPN. Especially cloud networking.
Good understanding of container technology (Docker) and Container orchestration technology (Kubernetes) to do basic troubleshooting.
Experience in Debugging production level disruptions using traces, metrics and dumps.
Good hands-on experience in Incident and problem management process and tools around it like Jira, Mattermost, Confluence etc.
Very good communication skills
Requirements
What we are looking for :
Monitor APM and infra for the whole system in a 24/7 model.
Develop automation to generate reports.
Provide first level analysis using debugging traces and dumps present in APM tools like datadog
Monitor quality of I&P with proper guidance and work in collaboration of DevOps teams
Prepare and present reports around performance metrics.
Lead meetings for Incident and problem management
Analyse historical data and provide insight to do problem clustering.