Wise Skulls

Video Operation Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Video Operation Engineer in Denver, CO, for 6 months with a pay rate of "unknown." Key skills include AWS, Splunk, Datadog, Docker, and Kubernetes. Candidates must be USC/GC holders with experience in video services and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 23, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Denver, CO
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🧠 - Skills detailed
#Scala #Splunk #Deployment #Datadog #Metadata #Docker #Monitoring #Kubernetes #Cloud #AWS (Amazon Web Services) #Observability
Role description
Hiring: Video Operation Engineer • 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 Important Notes: Title: Video Operation Engineer Location: Denver, CO (On-site) Duration: 6 Months (Possible Extension) Eligibility: USC / GC Candidates Only Responsibilities: • 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 Interested? Apply now or DM us to explore this opportunity! You can share resumes at taukir@wiseskulls.com