8+ years of hands-on experience as a DevOps & Cloud A person who has experience in assisting/helping to architect, design and develop Cloud &DevOps practices on one or more cloud platforms (AWS, Azure, GCP) Must be an expert in implementing CI & CD pipeline with various DevOps tool sets. Shouldbe able to evaluate, implement, and streamline the DevOps practices for the clientsthereby speeding up the software development and deployment process Hands-on experience with CI & CD tools(like Jenkins, SonarQube, Artifactory/Nexus), Source Control (like Git- Bitbucket, Github, Gitlab/SVN etc.). Experience in creating continuous delivery practices by using Terraform/ARMTemplates/Cloud Formation. Must possess excellent knowledge of infrastructure configuration & automation tools (likeAnsible) in both development and production environments Should possess the experience in designing & building applications using container &serverless technologies. Kubernetes expertise is a must have and knowledge on Service Mesh, Tracing, HelmCharts etc would be an added advantage. Must have strong expertise in operating Linux environments and scripting languages likeShell. Good presentation and communications skills. Be willing to be challenged and learn new skills. Finally, and most importantly to lead and grow your team by example

2+ years of hands-on experience as a Cloud Engineer Experience monitoring a 24/7 SaaS with IP 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 IP 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.