IT Technology Lead | Data On Cloud Platform | AWS
Englewood, CO - USA
Job Summary
POC: Brenda
Job title: Senior Video Application Engineer
Duration of the project: 6 Months
Work Location with Zip code: Denver CO 80111
Please confirm if this would be onsite from day one OR Initial remote for 2-3 months and then expecting candidate to work from office OR 100% Remote: onsite from day one
Is this an 100% remote role No
Vendor Rate Range (min to max rate you can offer): $75/Hr
Do you have budget approved for this request No (New project)
Minimum years of experience required: 6 Years
Would you require the candidates to meet you for in person interview Yes
Is Skype/WebEx interview OK WebEx
Must Have Skills (TOP 3 SKILLS) DomainCable & MediaVideo Management
TechnologyData On Cloud - PlatformAWS
TechnologyCloud PlatformAWS Kubernetes
Application Monitoring
Detailed Job Description.
SENIOR VIDEO APPLICATION ENGINEER JOB DESCRIPTION
Manage operational readiness across video authentication customer onboarding purchase flows cloud DVR entitlements channel lineups metadata caching VOD and video streaming platforms.
Monitor service health alerts and dashboards using monitoring and observability tools such as Splunk and Datadog to ensure availability and performance.
Support production deployments launch readiness post deployment validation and post release checks for backend video services.
Troubleshoot complex production issues related to customer access entitlements recordings middleware and video delivery systems.
Validate data flows between customer account systems middleware layers and video platforms.
Provision and support deployment of backend services on cloud platforms with hands on experience in AWS and containerized services.
Skills and tools
Monitoring and observability systems like Splunk Datadog ELK stack
Alerting dashboards service health monitoring
Cloud platforms: AWS
Supporting Containerized services: Docker Kubernetes
Video services Capacity planning scalability assessments
Video services Production deployments and release operations
Video operations - Root cause analysis (RCA)
Video devices - System architecture review and Service design assessment validation
Must have good knowledge on Video Back end APIs and microservices.
Must have experience on Deployment of applications and services in AWS Kubernetes environment
Debugging experience of systems involving multiple REST API services and data sources. Project Code :DAA Device Upgrades for Video Ops
Job title: Senior Video Application Engineer
Duration of the project: 6 Months
Work Location with Zip code: Denver CO 80111
Please confirm if this would be onsite from day one OR Initial remote for 2-3 months and then expecting candidate to work from office OR 100% Remote: onsite from day one
Is this an 100% remote role No
Vendor Rate Range (min to max rate you can offer): $75/Hr
Do you have budget approved for this request No (New project)
Minimum years of experience required: 6 Years
Would you require the candidates to meet you for in person interview Yes
Is Skype/WebEx interview OK WebEx
Must Have Skills (TOP 3 SKILLS) DomainCable & MediaVideo Management
TechnologyData On Cloud - PlatformAWS
TechnologyCloud PlatformAWS Kubernetes
Application Monitoring
Detailed Job Description.
SENIOR VIDEO APPLICATION ENGINEER JOB DESCRIPTION
Manage operational readiness across video authentication customer onboarding purchase flows cloud DVR entitlements channel lineups metadata caching VOD and video streaming platforms.
Monitor service health alerts and dashboards using monitoring and observability tools such as Splunk and Datadog to ensure availability and performance.
Support production deployments launch readiness post deployment validation and post release checks for backend video services.
Troubleshoot complex production issues related to customer access entitlements recordings middleware and video delivery systems.
Validate data flows between customer account systems middleware layers and video platforms.
Provision and support deployment of backend services on cloud platforms with hands on experience in AWS and containerized services.
Skills and tools
Monitoring and observability systems like Splunk Datadog ELK stack
Alerting dashboards service health monitoring
Cloud platforms: AWS
Supporting Containerized services: Docker Kubernetes
Video services Capacity planning scalability assessments
Video services Production deployments and release operations
Video operations - Root cause analysis (RCA)
Video devices - System architecture review and Service design assessment validation
Must have good knowledge on Video Back end APIs and microservices.
Must have experience on Deployment of applications and services in AWS Kubernetes environment
Debugging experience of systems involving multiple REST API services and data sources. Project Code :DAA Device Upgrades for Video Ops