Job Description

3.00 to 10.00 Years
Minimum 6+ years of Cloud Experience. Experience with Media and broadcasting is critical and implication of moving these workloads to cloud· Hands on knowledge of OTT content transcoding, origin and CDN.· Hands on knowledge of contribution and distribution encoding techniques· Hands on knowledge of payload transfer over IP using Zixi, RTP, RTMP, HTTP· Hands on knowledge of transport of serial digital interfaces over IP using SMPTE ST 2022· Understanding of Video and Audio Codecs, such as H.264, H.265, AAC, HE AAC· Understanding of segment transfer from Encoders to Packager and Origin using PUT, WebDav· Understanding of Packaging formats such us HLS, Dash, MSS and difference between packaging· Knowledge of integration between various components in cloud environment· Experience on designing OTT content chain on cloud using products similar to Harmonic, Elemental· Understanding of how to migrate existing OTT workflows to cloud.· Understanding of cloud design principals to maintain high availability of linear channels and live events· Understanding of VOD workflow on cloud· Understanding of Object storage· Understanding of http origin configuration using Nginx, Apache etc· Hands on knowledge of autoscaling functionalities of cloud and Load balancing origin servers· Knowledge of various cloud native monitoring tools and integrate them with Broadcast workflows.· Should have working experience with multi public cloud providers like Azure , Google Cloud and AWS.· Should have experience on Cloud migration Assessment.· Should you have experience in Design and led Deployment and Migration of applications from on premises Datacenter to public cloud providers Azure and GCP· Should have experience in Provided leadership in cloud adoption plans, cloud application design cloud management including support to the application architecture and deployment in cloud environments· Should have experience in develop business capability maps, process and strategies, gaining deep understanding of the business domain and best practices· strong knowledge in Azure , Google cloud and AWS services· Designed microservices and service fabric architecture on Microsoft Azure, AWS or GCP using Docker & Kubernetes to scale out deploying each services independently creating instances of these services across servers / VMs / containers, helping to improve resource utilization, fault isolation.· Expertise in creating DevOps strategy in a various distribution of LINUX using DevOps